Sources ledger

출처 원장 1563건

← 보고서로

[S1] www.tbench.ai/benchmarks · — via A1-terminal-bench (w1)

[S2] www.tbench.ai/news/announcement · — via A1-terminal-bench (w1)

[S3] raw.githubusercontent.com/harbor-framework/terminal-bench-1/main/registry.json · — via A1-terminal-bench (w1)

[S4] github.com/harbor-framework/terminal-bench-1 · — via A1-terminal-bench (w1)

[S5] github.com/harbor-framework/terminal-bench-2 · — via A1-terminal-bench (w1)

[S6] github.com/laude-institute/terminal-bench · — via A1-terminal-bench (w1)

[S7] www.tbench.ai/news/announcement-2-0 · — via A1-terminal-bench (w1)

[S8] www.tbench.ai/leaderboard · — via A1-terminal-bench (w1)

[S9] ofhuhcpkvzjlejydnvyd.supabase.co/functions/v1/leaderboard-read · — via A1-terminal-bench (w1)

[S10] www.tbench.ai/ · — via A1-terminal-bench (w1)

[S11] hub.harborframework.com/datasets/terminal-bench/terminal-bench/2 · — via A1-terminal-bench (w1)

[S12] github.com/harbor-framework/terminal-bench-1/tree/main/original-tasks/hello-world · — via A2-harbor-tbench-harness (w1)

[S13] github.com/harbor-framework/terminal-bench-1/blob/main/original-tasks/hello-world/task.yaml · — via A2-harbor-tbench-harness (w1)

[S14] github.com/harbor-framework/terminal-bench-1/blob/main/original-tasks/hello-world/Dockerfile · — via A2-harbor-tbench-harness (w1)

[S15] github.com/harbor-framework/terminal-bench-1/blob/main/original-tasks/hello-world/run-tests.sh · — via A2-harbor-tbench-harness (w1)

[S16] github.com/harbor-framework/terminal-bench-1/blob/main/original-tasks/hello-world/solution.sh · — via A2-harbor-tbench-harness (w1)

[S17] github.com/harbor-framework/terminal-bench-1/tree/main/original-tasks · — via A2-harbor-tbench-harness (w1)

[S18] github.com/harbor-framework/terminal-bench-1/blob/main/terminal_bench/agents/base_agent.py · — via A2-harbor-tbench-harness (w1)

[S19] github.com/harbor-framework/terminal-bench-1/tree/main/terminal_bench/agents · — via A2-harbor-tbench-harness (w1)

[S20] github.com/harbor-framework/terminal-bench-1/blob/main/terminal_bench/agents/oracle_agent.py · — via A2-harbor-tbench-harness (w1)

[S21] github.com/laude-institute/harbor · — via A2-harbor-tbench-harness (w1)

[S22] github.com/harbor-framework/terminal-bench-1/blob/main/LICENSE · — via A2-harbor-tbench-harness (w1)

[S23] github.com/harbor-framework/harbor/blob/main/LICENSE · — via A2-harbor-tbench-harness (w1)

[S24] api.github.com/repos/harbor-framework/harbor/license · — via A2-harbor-tbench-harness (w1)

[S25] github.com/harbor-framework/terminal-bench-1/tree/main/terminal_bench/agents/installed_agents · — via A2-harbor-tbench-harness (w1)

[S26] github.com/harbor-framework/harbor-cookbook · — via A2-harbor-tbench-harness (w1)

[S27] www.tbench.ai/docs · — via A2-harbor-tbench-harness (w1)

[S28] harborframework.com/docs/task-format · — via A2-harbor-tbench-harness (w1)

[S29] www.swebench.com/ · — via A3-swe-bench-family (w1)

[S30] huggingface.co/api/datasets/princeton-nlp/SWE-bench · — via A3-swe-bench-family (w1)

[S31] huggingface.co/datasets/princeton-nlp/SWE-bench · — via A3-swe-bench-family (w1)

[S32] github.com/princeton-nlp/SWE-bench · — via A3-swe-bench-family (w1)

[S33] huggingface.co/api/datasets/princeton-nlp/SWE-bench_Lite · — via A3-swe-bench-family (w1)

[S34] huggingface.co/datasets/princeton-nlp/SWE-bench_Lite · — via A3-swe-bench-family (w1)

[S35] www.swebench.com/lite.html · — via A3-swe-bench-family (w1)

[S36] huggingface.co/api/datasets/princeton-nlp/SWE-bench_Verified · — via A3-swe-bench-family (w1)

[S37] huggingface.co/datasets/princeton-nlp/SWE-bench_Verified · — via A3-swe-bench-family (w1)

[S38] datasets-server.huggingface.co/first-rows?dataset=princeton-nlp%2FSWE-bench_Verified&config=default&split=test · — via A3-swe-bench-family (w1)

[S39] www.swebench.com/verified.html · — via A3-swe-bench-family (w1)

[S40] arxiv.org/abs/2410.03859 · — via A3-swe-bench-family (w1)

[S41] www.swebench.com/multimodal.html · — via A3-swe-bench-family (w1)

[S42] huggingface.co/api/datasets/princeton-nlp/SWE-bench_Multimodal · — via A3-swe-bench-family (w1)

[S43] huggingface.co/datasets/SWE-bench/SWE-bench_Multimodal · — via A3-swe-bench-family (w1)

[S44] datasets-server.huggingface.co/first-rows?dataset=princeton-nlp%2FSWE-bench_Multimodal&config=default&split=te · — via A3-swe-bench-family (w1)

[S45] arxiv.org/abs/2509.16941 · — via A3-swe-bench-family (w1)

[S46] datasets-server.huggingface.co/size?dataset=ScaleAI/SWE-bench_Pro · — via A3-swe-bench-family (w1)

[S47] datasets-server.huggingface.co/first-rows?dataset=ScaleAI%2FSWE-bench_Pro&config=default&split=test · — via A3-swe-bench-family (w1)

[S48] huggingface.co/datasets/ScaleAI/SWE-bench_Pro · — via A3-swe-bench-family (w1)

[S49] scale.com/leaderboard/swebench_pro · — via A3-swe-bench-family (w1)

[S50] scale.com/leaderboard/swe_bench_pro_public · — via A3-swe-bench-family (w1)

[S51] arxiv.org/abs/2408.14354 · — via A3-swe-bench-family (w1)

[S52] huggingface.co/datasets/Daoguang/Multi-SWE-bench · — via A3-swe-bench-family (w1)

[S53] datasets-server.huggingface.co/size?dataset=Daoguang/Multi-SWE-bench · — via A3-swe-bench-family (w1)

[S54] datasets-server.huggingface.co/first-rows?dataset=Daoguang%2FMulti-SWE-bench&config=default&split=java_verifie · — via A3-swe-bench-family (w1)

[S55] github.com/multi-swe-bench/multi-swe-bench · — via A3-swe-bench-family (w1)

[S56] huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench · — via A3-swe-bench-family (w1)

[S57] datasets-server.huggingface.co/first-rows?dataset=ByteDance-Seed%2FMulti-SWE-bench&config=default&split=train · — via A3-swe-bench-family (w1)

[S58] multi-swe-bench.github.io · — via A3-swe-bench-family (w1)

[S59] multi-swe-bench.github.io/ · — via A3-swe-bench-family (w1)

[S60] www.swebench.com/multilingual.html · — via A3-swe-bench-family (w1)

[S61] huggingface.co/datasets/opencompass/SWEBench-Pro-Verified · — via A3-swe-bench-family (w1)

[S62] arxiv.org/abs/2404.07972 · — via A4-osworld-agentbench (w1)

[S63] os-world.github.io/ · — via A4-osworld-agentbench (w1)

[S64] xlang.ai/blog/osworld-verified · — via A4-osworld-agentbench (w1)

[S65] github.com/xlang-ai/OSWorld · — via A4-osworld-agentbench (w1)

[S66] huggingface.co/datasets/xlangai/ubuntu_osworld_file_cache · — via A4-osworld-agentbench (w1)

[S67] os-world.github.io/static/data/osworld_verified_results.xlsx · — via A4-osworld-agentbench (w1)

[S68] osworld-v2.xlang.ai/ · — via A4-osworld-agentbench (w1)

[S69] arxiv.org/abs/2308.03688 · — via A4-osworld-agentbench (w1)

[S70] ar5iv.labs.arxiv.org/html/2308.03688 · — via A4-osworld-agentbench (w1)

[S71] github.com/THUDM/AgentBench · — via A4-osworld-agentbench (w1)

[S72] docs.google.com/spreadsheets/d/e/2PACX-1vRR3Wl7wsCgHpwUw1_eUXW_fptAPLL3FkhnW_rua0O1Ji_GIVrpTjY5LaKAhwO-WeARjnY · — via A4-osworld-agentbench (w1)

[S73] github.com/TheAgentCompany/TheAgentCompany · — via A4-osworld-agentbench (w1)

[S74] arxiv.org/abs/2412.14161 · — via A4-osworld-agentbench (w1)

[S75] the-agent-company.com/ · — via A4-osworld-agentbench (w1)

[S76] github.com/ServiceNow/WorkArena · — via A4-osworld-agentbench (w1)

[S77] huggingface.co/datasets/ServiceNow/WorkArena-Instances · — via A4-osworld-agentbench (w1)

[S78] github.com/ServiceNow/WorkArena/blob/main/LICENSE · — via A4-osworld-agentbench (w1)

[S79] arxiv.org/abs/2403.07718 · — via A4-osworld-agentbench (w1)

[S80] huggingface.co/spaces/ServiceNow/browsergym-leaderboard · — via A4-osworld-agentbench (w1)

[S81] github.com/princeton-nlp/intercode · — via A5-intercode-nl2bash (w1)

[S82] arxiv.org/abs/2306.14898 · — via A5-intercode-nl2bash (w1)

[S83] github.com/princeton-nlp/intercode/blob/master/data/nl2bash/README.md · — via A5-intercode-nl2bash (w1)

[S84] github.com/princeton-nlp/intercode/blob/master/data/README.md · — via A5-intercode-nl2bash (w1)

[S85] github.com/TellinaTool/nl2bash · — via A5-intercode-nl2bash (w1)

[S86] arxiv.org/abs/1802.08979 · — via A5-intercode-nl2bash (w1)

[S87] huggingface.co/datasets/jiacheng-ye/nl2bash · — via A5-intercode-nl2bash (w1)

[S88] huggingface.co/datasets/epinnock/intercode-nl2bash-curated · — via A5-intercode-nl2bash (w1)

[S89] arxiv.org/abs/2207.05987 · — via A5-intercode-nl2bash (w1)

[S90] huggingface.co/datasets/neulab/tldr · — via A5-intercode-nl2bash (w1)

[S91] datasets-server.huggingface.co/size?dataset=neulab/tldr · — via A5-intercode-nl2bash (w1)

[S92] github.com/shuyanzhou/docprompting · — via A5-intercode-nl2bash (w1)

[S93] arxiv.org/search/?query=%22ShellBench%22&searchtype=all · — via A5-intercode-nl2bash (w1)

[S94] github.com/shellspec/shellbench · — via A5-intercode-nl2bash (w1)

[S95] github.com/openclaw/shellbench · — via A5-intercode-nl2bash (w1)

[S96] huggingface.co/api/datasets/jiacheng-ye/nl2bash · — via A5-intercode-nl2bash (w1)

[S97] arxiv.org/abs/2406.12045 · — via A6-tau-bench (w1)

[S98] github.com/sierra-research/tau-bench · — via A6-tau-bench (w1)

[S99] arxiv.org/abs/2506.07982 · — via A6-tau-bench (w1)

[S100] github.com/sierra-research/tau2-bench · — via A6-tau-bench (w1)

[S101] taubench.com · — via A6-tau-bench (w1)

[S102] raw.githubusercontent.com/sierra-research/tau-bench/main/tau_bench/envs/retail/tasks_train.py · — via A6-tau-bench (w1)

[S103] raw.githubusercontent.com/sierra-research/tau2-bench/main/src/tau2/domains/README.md · — via A6-tau-bench (w1)

[S104] huggingface.co/datasets/gaia-benchmark/GAIA · — via A7-gaia-browsecomp-webarena (w1)

[S105] huggingface.co/api/datasets/gaia-benchmark/GAIA · — via A7-gaia-browsecomp-webarena (w1)

[S106] arxiv.org/abs/2311.12983 · — via A7-gaia-browsecomp-webarena (w1)

[S107] huggingface.co/spaces/gaia-benchmark/leaderboard · — via A7-gaia-browsecomp-webarena (w1)

[S108] arxiv.org/abs/2504.12516 · — via A7-gaia-browsecomp-webarena (w1)

[S109] openaipublic.blob.core.windows.net/simple-evals/browse_comp_test_set.csv · — via A7-gaia-browsecomp-webarena (w1)

[S110] github.com/openai/simple-evals · — via A7-gaia-browsecomp-webarena (w1)

[S111] browsecomp.com · — via A7-gaia-browsecomp-webarena (w1)

[S112] openai.com/index/browsecomp/ · — via A7-gaia-browsecomp-webarena (w1)

[S113] github.com/web-arena-x/webarena · — via A7-gaia-browsecomp-webarena (w1)

[S114] docs.google.com/spreadsheets/d/1M801lEpBbKSNwP-vDBkC_pF7LdyGU1f_ufZb_NWNBZQ/edit?usp=sharing · — via A7-gaia-browsecomp-webarena (w1)

[S115] github.com/web-arena-x/visualwebarena · — via A7-gaia-browsecomp-webarena (w1)

[S116] jykoh.com/vwa · — via A7-gaia-browsecomp-webarena (w1)

[S117] arxiv.org/abs/2306.06070 · — via A7-gaia-browsecomp-webarena (w1)

[S118] huggingface.co/datasets/osunlp/Mind2Web · — via A7-gaia-browsecomp-webarena (w1)

[S119] osu-nlp-group.github.io/Mind2Web/ · — via A7-gaia-browsecomp-webarena (w1)

[S120] arxiv.org/abs/2407.15711 · — via A7-gaia-browsecomp-webarena (w1)

[S121] huggingface.co/datasets/AssistantBench/AssistantBench · — via A7-gaia-browsecomp-webarena (w1)

[S122] huggingface.co/spaces/AssistantBench/leaderboard · — via A7-gaia-browsecomp-webarena (w1)

[S123] arxiv.org/abs/2506.21506 · — via A7-gaia-browsecomp-webarena (w1)

[S124] gorilla.cs.berkeley.edu/leaderboard.html · — via B1-bfcl (w1)

[S125] github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard · — via B1-bfcl (w1)

[S126] gorilla.cs.berkeley.edu/blogs/8_berkeley_function_calling_leaderboard.html · — via B1-bfcl (w1)

[S127] gorilla.cs.berkeley.edu/blogs/12_bfcl_v2_live.html · — via B1-bfcl (w1)

[S128] gorilla.cs.berkeley.edu/blogs/13_bfcl_v3_multi_turn.html · — via B1-bfcl (w1)

[S129] gorilla.cs.berkeley.edu/blogs/15_bfcl_v4_web_search.html · — via B1-bfcl (w1)

[S130] gorilla.cs.berkeley.edu/blogs/16_bfcl_v4_memory.html · — via B1-bfcl (w1)

[S131] gorilla.cs.berkeley.edu/blogs/17_bfcl_v4_prompt_variation.html · — via B1-bfcl (w1)

[S132] github.com/ShishirPatil/gorilla/blob/main/berkeley-function-call-leaderboard/bfcl_eval/constants/category_mapp · — via B1-bfcl (w1)

[S133] github.com/ShishirPatil/gorilla/blob/main/berkeley-function-call-leaderboard/TEST_CATEGORIES.md · — via B1-bfcl (w1)

[S134] github.com/ShishirPatil/gorilla · — via B1-bfcl (w1)

[S135] huggingface.co/datasets/gorilla-llm/Berkeley-Function-Calling-Leaderboard · — via B1-bfcl (w1)

[S136] gorilla.cs.berkeley.edu/data_overall.csv · — via B1-bfcl (w1)

[S137] github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard/bfcl_eval/data · — via B1-bfcl (w1)

[S138] arxiv.org/abs/2307.16789 · — via B2-toolbench-tooleval (w1)

[S139] raw.githubusercontent.com/OpenBMB/ToolBench/master/README.md · — via B2-toolbench-tooleval (w1)

[S140] huggingface.co/ToolBench · — via B2-toolbench-tooleval (w1)

[S141] raw.githubusercontent.com/OpenBMB/ToolBench/master/toolbench/tooleval/README.md · — via B2-toolbench-tooleval (w1)

[S142] arxiv.org/abs/2403.07714 · — via B2-toolbench-tooleval (w1)

[S143] ar5iv.labs.arxiv.org/html/2403.07714 · — via B2-toolbench-tooleval (w1)

[S144] github.com/THUNLP-MT/StableToolBench · — via B2-toolbench-tooleval (w1)

[S145] raw.githubusercontent.com/THUNLP-MT/StableToolBench/master/README.md · — via B2-toolbench-tooleval (w1)

[S146] github.com/OpenBMB/ToolBench · — via B2-toolbench-tooleval (w1)

[S147] arxiv.org/abs/2304.08244 · — via B3-apibank-toolalpaca-apibench (w1)

[S148] github.com/AlibabaResearch/DAMO-ConvAI/tree/main/api-bank · — via B3-apibank-toolalpaca-apibench (w1)

[S149] api.github.com/repos/AlibabaResearch/DAMO-ConvAI · — via B3-apibank-toolalpaca-apibench (w1)

[S150] ar5iv.labs.arxiv.org/html/2304.08244 · — via B3-apibank-toolalpaca-apibench (w1)

[S151] arxiv.org/abs/2306.05301 · — via B3-apibank-toolalpaca-apibench (w1)

[S152] github.com/tangqiaoyu/ToolAlpaca · — via B3-apibank-toolalpaca-apibench (w1)

[S153] github.com/tangqiaoyu/ToolAlpaca/blob/main/LICENSE · — via B3-apibank-toolalpaca-apibench (w1)

[S154] ar5iv.labs.arxiv.org/html/2306.05301 · — via B3-apibank-toolalpaca-apibench (w1)

[S155] ar5iv.labs.arxiv.org/html/2305.15334 · — via B3-apibank-toolalpaca-apibench (w1)

[S156] github.com/nexusflowai/NexusRaven-V2 · — via B3-apibank-toolalpaca-apibench (w1)

[S157] huggingface.co/api/datasets/Nexusflow/NVDLibraryBenchmark · — via B3-apibank-toolalpaca-apibench (w1)

[S158] huggingface.co/spaces/Nexusflow/Nexus_Function_Calling_Leaderboard · — via B3-apibank-toolalpaca-apibench (w1)

[S159] huggingface.co/datasets/Nexusflow/Function_Call_Definitions · — via B3-apibank-toolalpaca-apibench (w1)

[S160] huggingface.co/Nexusflow/NexusRaven-V2-13B · — via B3-apibank-toolalpaca-apibench (w1)

[S161] ar5iv.labs.arxiv.org/html/2405.08355 · — via B3-apibank-toolalpaca-apibench (w1)

[S162] github.com/fairyshine/Seal-Tools · — via B3-apibank-toolalpaca-apibench (w1)

[S163] github.com/AlibabaResearch/DAMO-ConvAI · — via B3-apibank-toolalpaca-apibench (w1)

[S164] arxiv.org/abs/2405.08355 · — via B3-apibank-toolalpaca-apibench (w1)

[S165] huggingface.co/api/datasets/Nexusflow/CVECPEAPIBenchmark/parquet · — via B3-apibank-toolalpaca-apibench (w1)

[S166] huggingface.co/datasets/fairyshine/Seal-Tools/resolve/main/README.md · — via B3-apibank-toolalpaca-apibench (w1)

[S167] github.com/zai-org/ComplexFuncBench · — via B4-complexfunc-mtu-ace (w1)

[S168] huggingface.co/datasets/THUDM/ComplexFuncBench · — via B4-complexfunc-mtu-ace (w1)

[S169] arxiv.org/abs/2501.10132 · — via B4-complexfunc-mtu-ace (w1)

[S170] github.com/MTU-Bench-Team/MTU-Bench · — via B4-complexfunc-mtu-ace (w1)

[S171] arxiv.org/abs/2410.11710 · — via B4-complexfunc-mtu-ace (w1)

[S172] github.com/acebench/ACEBench · — via B4-complexfunc-mtu-ace (w1)

[S173] api.github.com/repos/acebench/ACEBench · — via B4-complexfunc-mtu-ace (w1)

[S174] arxiv.org/abs/2501.12851 · — via B4-complexfunc-mtu-ace (w1)

[S175] arxiv.org/html/2408.04682 · — via B4-complexfunc-mtu-ace (w1)

[S176] raw.githubusercontent.com/apple-aiml-research/ToolSandbox/main/LICENSE · — via B4-complexfunc-mtu-ace (w1)

[S177] github.com/apple-aiml-research/ToolSandbox · — via B4-complexfunc-mtu-ace (w1)

[S178] arxiv.org/abs/2408.04682 · — via B4-complexfunc-mtu-ace (w1)

[S179] arxiv.org/html/2312.14033 · — via B4-complexfunc-mtu-ace (w1)

[S180] huggingface.co/datasets/lovesnowbest/T-Eval · — via B4-complexfunc-mtu-ace (w1)

[S181] github.com/open-compass/T-Eval · — via B4-complexfunc-mtu-ace (w1)

[S182] arxiv.org/abs/2312.14033 · — via B4-complexfunc-mtu-ace (w1)

[S183] arxiv.org/html/2401.13178 · — via B4-complexfunc-mtu-ace (w1)

[S184] github.com/hkust-nlp/AgentBoard · — via B4-complexfunc-mtu-ace (w1)

[S185] arxiv.org/abs/2401.13178 · — via B4-complexfunc-mtu-ace (w1)

[S186] github.com/night-chen/ToolQA · — via B4-complexfunc-mtu-ace (w1)

[S187] api.github.com/repos/night-chen/ToolQA · — via B4-complexfunc-mtu-ace (w1)

[S188] arxiv.org/abs/2306.13304 · — via B4-complexfunc-mtu-ace (w1)

[S189] huggingface.co/api/datasets/THUDM/ComplexFuncBench · — via B4-complexfunc-mtu-ace (w1)

[S190] arxiv.org/html/2501.12851 · — via B4-complexfunc-mtu-ace (w1)

[S191] arxiv.org/abs/2508.20453 · — via B5-mcp-bench (w1)

[S192] github.com/Accenture/mcp-bench · — via B5-mcp-bench (w1)

[S193] api.github.com/repos/Accenture/mcp-bench/license · — via B5-mcp-bench (w1)

[S194] github.com/mcp-tool-bench/MCPToolBenchPP · — via B5-mcp-bench (w1)

[S195] huggingface.co/datasets/MCPToolBench/MCPToolBenchPP · — via B5-mcp-bench (w1)

[S196] arxiv.org/abs/2508.14704 · — via B5-mcp-bench (w1)

[S197] github.com/SalesforceAIResearch/MCP-Universe · — via B5-mcp-bench (w1)

[S198] arxiv.org/abs/2508.01780 · — via B5-mcp-bench (w1)

[S199] github.com/icip-cas/LiveMCPBench · — via B5-mcp-bench (w1)

[S200] github.com/modelscope/MCPBench · — via B5-mcp-bench (w1)

[S201] api.github.com/search/repositories · — via B5-mcp-bench (w1)

[S202] huggingface.co/api/datasets/glaiveai/glaive-function-calling-v2 · — via C1-glaive-hermes (w1)

[S203] huggingface.co/datasets/glaiveai/glaive-function-calling-v2/raw/main/README.md · — via C1-glaive-hermes (w1)

[S204] datasets-server.huggingface.co/size?dataset=glaiveai/glaive-function-calling-v2 · — via C1-glaive-hermes (w1)

[S205] datasets-server.huggingface.co/first-rows?dataset=glaiveai/glaive-function-calling-v2&config=default&split=tra · — via C1-glaive-hermes (w1)

[S206] huggingface.co/api/datasets/glaiveai/glaive-function-calling-v2/discussions · — via C1-glaive-hermes (w1)

[S207] huggingface.co/api/datasets/NousResearch/hermes-function-calling-v1 · — via C1-glaive-hermes (w1)

[S208] huggingface.co/datasets/NousResearch/hermes-function-calling-v1/raw/main/README.md · — via C1-glaive-hermes (w1)

[S209] datasets-server.huggingface.co/size?dataset=NousResearch/hermes-function-calling-v1 · — via C1-glaive-hermes (w1)

[S210] huggingface.co/api/datasets/NousResearch/hermes-function-calling-v1/discussions · — via C1-glaive-hermes (w1)

[S211] huggingface.co/datasets/glaiveai/glaive-function-calling-v2 · — via C1-glaive-hermes (w1)

[S212] huggingface.co/datasets/NousResearch/hermes-function-calling-v1 · — via C1-glaive-hermes (w1)

[S213] github.com/NousResearch/Hermes-Function-Calling · — via C1-glaive-hermes (w1)

[S214] huggingface.co/datasets/Salesforce/xlam-function-calling-60k · — via C2-xlam-apigen (w1)

[S215] arxiv.org/abs/2406.18518 · — via C2-xlam-apigen (w1)

[S216] huggingface.co/api/datasets/Salesforce/xlam-function-calling-60k · — via C2-xlam-apigen (w1)

[S217] apigen-pipeline.github.io/ · — via C2-xlam-apigen (w1)

[S218] huggingface.co/datasets/Salesforce/APIGen-MT-5k · — via C2-xlam-apigen (w1)

[S219] arxiv.org/abs/2504.03601 · — via C2-xlam-apigen (w1)

[S220] huggingface.co/api/datasets?author=Salesforce&search=xlam · — via C2-xlam-apigen (w1)

[S221] datasets-server.huggingface.co/info?dataset=Salesforce/APIGen-MT-5k · — via C2-xlam-apigen (w1)

[S222] huggingface.co/datasets/Team-ACE/ToolACE · — via C3-toolace (w1)

[S223] datasets-server.huggingface.co/size?dataset=Team-ACE/ToolACE · — via C3-toolace (w1)

[S224] huggingface.co/api/datasets/Team-ACE/ToolACE · — via C3-toolace (w1)

[S225] arxiv.org/abs/2409.00920 · — via C3-toolace (w1)

[S226] huggingface.co/Team-ACE/ToolACE-2-Llama-3.1-8B · — via C3-toolace (w1)

[S227] huggingface.co/api/datasets?author=Team-ACE · — via C3-toolace (w1)

[S228] huggingface.co/datasets/Team-ACE/ProActEval · — via C3-toolace (w1)

[S229] arxiv.org/pdf/2409.00920 · — via C3-toolace (w1)

[S230] huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1 · — via C4-nemotron-tulu-toolsplits (w1)

[S231] huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v2 · — via C4-nemotron-tulu-toolsplits (w1)

[S232] huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset · — via C4-nemotron-tulu-toolsplits (w1)

[S233] arxiv.org/abs/2505.00949 · — via C4-nemotron-tulu-toolsplits (w1)

[S234] huggingface.co/datasets/allenai/tulu-3-sft-mixture · — via C4-nemotron-tulu-toolsplits (w1)

[S235] huggingface.co/allenai/OLMo-2-1124-7B-Instruct · — via C4-nemotron-tulu-toolsplits (w1)

[S236] huggingface.co/datasets/allenai/tulu-3-sft-olmo-2-mixture · — via C4-nemotron-tulu-toolsplits (w1)

[S237] arxiv.org/abs/2508.14444 · — via C4-nemotron-tulu-toolsplits (w1)

[S238] arxiv.org/abs/2410.18447 · — via C6-toolflow-magpie-agent (w1)

[S239] arxiv.org/html/2410.18447 · — via C6-toolflow-magpie-agent (w1)

[S240] huggingface.co/datasets/Magpie-Align/Magpie-Agent-Instruct-300K-v0.1 · — via C6-toolflow-magpie-agent (w1)

[S241] huggingface.co/api/datasets?author=Magpie-Align · — via C6-toolflow-magpie-agent (w1)

[S242] datasets-server.huggingface.co/info?dataset=argilla/magpie-ultra-v1.0 · — via C6-toolflow-magpie-agent (w1)

[S243] huggingface.co/datasets/argilla/magpie-ultra-v1.0/raw/main/README.md · — via C6-toolflow-magpie-agent (w1)

[S244] huggingface.co/api/datasets/argilla/magpie-ultra-v0.1 · — via C6-toolflow-magpie-agent (w1)

[S245] huggingface.co/datasets/microsoft/orca-agentinstruct-1M-v1/raw/main/README.md · — via C6-toolflow-magpie-agent (w1)

[S246] arxiv.org/abs/2407.03502 · — via C6-toolflow-magpie-agent (w1)

[S247] huggingface.co/datasets/zai-org/AgentInstruct/raw/main/README.md · — via C6-toolflow-magpie-agent (w1)

[S248] huggingface.co/datasets/sam-mosaic/agent-instruct/raw/main/README.md · — via C6-toolflow-magpie-agent (w1)

[S249] datasets-server.huggingface.co/info?dataset=dim/thudn_agent_instruct · — via C6-toolflow-magpie-agent (w1)

[S250] arxiv.org/abs/2310.12823 · — via C6-toolflow-magpie-agent (w1)

[S251] datasets-server.huggingface.co/info?dataset=sam-mosaic/agent-instruct · — via C6-toolflow-magpie-agent (w1)

[S252] huggingface.co/datasets/jaeyong2/Ko-functioncall · — via C7-korean-toolcalling (w1)

[S253] huggingface.co/datasets/heegyu/glaive-function-calling-v2-ko · — via C7-korean-toolcalling (w1)

[S254] huggingface.co/datasets/heegyu/glaive-function-calling-v2-ko-mt · — via C7-korean-toolcalling (w1)

[S255] huggingface.co/datasets/iknow-lab/hermes-function-calling-v1-ko · — via C7-korean-toolcalling (w1)

[S256] huggingface.co/datasets/iknow-lab/hermes-function-calling-v1-ko-cleaned · — via C7-korean-toolcalling (w1)

[S257] huggingface.co/datasets/jaeyong2/function_call_temp_ko · — via C7-korean-toolcalling (w1)

[S258] huggingface.co/datasets/gyung/toolllama-korean-function-calling · — via C7-korean-toolcalling (w1)

[S259] huggingface.co/datasets/exp-models/dolphin-r1-korean-deepseek-toolcalls · — via C7-korean-toolcalling (w1)

[S260] huggingface.co/datasets/tryumanshow/glaive-function-calling-v2-ko-refined · — via C7-korean-toolcalling (w1)

[S261] huggingface.co/datasets/irene93/function-calling-v3-datasets-korean · — via C7-korean-toolcalling (w1)

[S262] huggingface.co/datasets/iamjoon/ecommerce-function-calling-datasets-korean · — via C7-korean-toolcalling (w1)

[S263] huggingface.co/datasets/jjun123/delivery-app-function-calling-datasets-korean · — via C7-korean-toolcalling (w1)

[S264] huggingface.co/datasets/Mineru/glaive-function-calling-v2-ko-cleaned · — via C7-korean-toolcalling (w1)

[S265] huggingface.co/datasets/KKACHI-HUB/glaive-function-calling-ko · — via C7-korean-toolcalling (w1)

[S266] github.com/dneirfi/EDGE-KOPA · — via C7-korean-toolcalling (w1)

[S267] github.com/kakao/FunctionChat-Bench · — via C7-korean-toolcalling (w1)

[S268] github.com/hanishkeloth/songgot · — via C7-korean-toolcalling (w1)

[S269] huggingface.co/datasets/zai-org/AgentInstruct · — via C8-agenttuning-agentinstruct (w1)

[S270] github.com/THUDM/AgentTuning · — via C8-agenttuning-agentinstruct (w1)

[S271] huggingface.co/api/datasets/THUDM/AgentInstruct · — via C8-agenttuning-agentinstruct (w1)

[S272] arxiv.org/abs/2310.05915 · — via C8-agenttuning-agentinstruct (w1)

[S273] github.com/anchen1011/FireAct · — via C8-agenttuning-agentinstruct (w1)

[S274] datasets-server.huggingface.co/size?dataset=zwhe99/FireAct · — via C8-agenttuning-agentinstruct (w1)

[S275] huggingface.co/api/models/THUDM/agentlm-7b · — via C8-agenttuning-agentinstruct (w1)

[S276] huggingface.co/datasets/internlm/Agent-FLAN · — via C8-agenttuning-agentinstruct (w1)

[S277] huggingface.co/datasets/internlm/Agent-FLAN/resolve/main/data/*.jsonl · — via C8-agenttuning-agentinstruct (w1)

[S278] api.github.com/repos/InternLM/Agent-FLAN · — via C8-agenttuning-agentinstruct (w1)

[S279] arxiv.org/abs/2504.21798 · — via D1-swe-smith (w1)

[S280] huggingface.co/datasets/SWE-bench/SWE-smith · — via D1-swe-smith (w1)

[S281] huggingface.co/datasets/SWE-bench/SWE-smith-trajectories · — via D1-swe-smith (w1)

[S282] huggingface.co/SWE-bench/SWE-agent-LM-32B · — via D1-swe-smith (w1)

[S283] github.com/SWE-bench/SWE-smith · — via D1-swe-smith (w1)

[S284] arxiv.org/html/2504.21798v2 · — via D1-swe-smith (w1)

[S285] arxiv.org/abs/2412.21139 · — via D2-swe-gym-r2e (w1)

[S286] huggingface.co/api/datasets/SWE-Gym/SWE-Gym · — via D2-swe-gym-r2e (w1)

[S287] huggingface.co/api/datasets/SWE-Gym/OpenHands-SFT-Trajectories · — via D2-swe-gym-r2e (w1)

[S288] huggingface.co/api/datasets/SWE-Gym/OpenHands-Verifier-Trajectories · — via D2-swe-gym-r2e (w1)

[S289] huggingface.co/api/datasets/SWE-Gym/OpenHands-Sampled-Trajectories · — via D2-swe-gym-r2e (w1)

[S290] github.com/SWE-Gym/SWE-Gym · — via D2-swe-gym-r2e (w1)

[S291] arxiv.org/abs/2504.07164 · — via D2-swe-gym-r2e (w1)

[S292] github.com/r2e-gym/r2e-gym · — via D2-swe-gym-r2e (w1)

[S293] huggingface.co/api/datasets/R2E-Gym/R2E-Gym-V1 · — via D2-swe-gym-r2e (w1)

[S294] huggingface.co/api/datasets/R2E-Gym/R2EGym-SFT-Trajectories · — via D2-swe-gym-r2e (w1)

[S295] huggingface.co/api/datasets?author=SWE-Gym · — via D2-swe-gym-r2e (w1)

[S296] huggingface.co/api/datasets?author=R2E-Gym · — via D2-swe-gym-r2e (w1)

[S297] huggingface.co/datasets/nebius/SWE-rebench · — via D3-swe-rebench-nebius (w1)

[S298] arxiv.org/abs/2505.20411 · — via D3-swe-rebench-nebius (w1)

[S299] huggingface.co/datasets/nebius/SWE-agent-trajectories · — via D3-swe-rebench-nebius (w1)

[S300] huggingface.co/datasets/nebius/SWE-rebench-openhands-trajectories · — via D3-swe-rebench-nebius (w1)

[S301] huggingface.co/datasets/nebius/SWE-bench-extra · — via D3-swe-rebench-nebius (w1)

[S302] nebius.com/blog/posts/scaling-data-collection-for-training-swe-agents · — via D3-swe-rebench-nebius (w1)

[S303] huggingface.co/OpenHands/openhands-lm-32b-v0.1 · — via D4-openhands-trajectories (w1)

[S304] www.all-hands.dev/blog/introducing-openhands-lm-32b----a-strong-open-coding-agent-model · — via D4-openhands-trajectories (w1)

[S305] huggingface.co/datasets/SWE-Gym/SWE-Gym · — via D4-openhands-trajectories (w1)

[S306] huggingface.co/datasets/SWE-Gym/OpenHands-Sampled-Trajectories · — via D4-openhands-trajectories (w1)

[S307] huggingface.co/datasets/SWE-Gym/OpenHands-SFT-Trajectories · — via D4-openhands-trajectories (w1)

[S308] huggingface.co/datasets/SWE-Gym/OpenHands-Verifier-Trajectories · — via D4-openhands-trajectories (w1)

[S309] huggingface.co/datasets/OpenHandsCommunity/SWE-bench-devin-full · — via D4-openhands-trajectories (w1)

[S310] huggingface.co/datasets/OpenHands/openhands-feedback · — via D4-openhands-trajectories (w1)

[S311] nebius.com/blog/posts/openhands-trajectories-with-qwen3-coder-480b · — via D4-openhands-trajectories (w1)

[S312] raw.githubusercontent.com/TellinaTool/nl2bash/master/README.md · — via D5-nl2bash-commitpack (w1)

[S313] datasets-server.huggingface.co/size?dataset=jiacheng-ye/nl2bash · — via D5-nl2bash-commitpack (w1)

[S314] huggingface.co/datasets/Tellina/nl2bash · — via D5-nl2bash-commitpack (w1)

[S315] huggingface.co/datasets/bigcode/commitpack · — via D5-nl2bash-commitpack (w1)

[S316] huggingface.co/datasets/bigcode/commitpackft · — via D5-nl2bash-commitpack (w1)

[S317] huggingface.co/datasets/bigcode/the-stack-v2 · — via D5-nl2bash-commitpack (w1)

[S318] arxiv.org/html/2402.19173v1 · — via D5-nl2bash-commitpack (w1)

[S319] huggingface.co/datasets/nvidia/Nemotron-CC-Code-v1 · — via D5-nl2bash-commitpack (w1)

[S320] huggingface.co/api/datasets/ · — via D5-nl2bash-commitpack (w1)

[S321] arxiv.org/abs/2601.11868 · — via A9-terminal-bench-papers (w1)

[S322] arxiv.org/abs/2608.15089 · — via A9-terminal-bench-papers (w1)

[S323] github.com/kanishkg/endless-terminals · — via A9-terminal-bench-papers (w1)

[S324] arxiv.org/abs/2601.16443 · — via A9-terminal-bench-papers (w1)

[S325] github.com/few-sh/terminal-wrench · — via A9-terminal-bench-papers (w1)

[S326] arxiv.org/abs/2604.17596 · — via A9-terminal-bench-papers (w1)

[S327] arxiv.org/abs/2604.28093 · — via A9-terminal-bench-papers (w1)

[S328] huggingface.co/datasets/mm-tbench/mmtb-media · — via A9-terminal-bench-papers (w1)

[S329] arxiv.org/abs/2605.10966 · — via A9-terminal-bench-papers (w1)

[S330] github.com/aiming-lab/ClawForge · — via A9-terminal-bench-papers (w1)

[S331] arxiv.org/abs/2605.14133 · — via A9-terminal-bench-papers (w1)

[S332] github.com/EuniAI/TerminalWorld · — via A9-terminal-bench-papers (w1)

[S333] arxiv.org/abs/2605.22535 · — via A9-terminal-bench-papers (w1)

[S334] arxiv.org/abs/2605.29115 · — via A9-terminal-bench-papers (w1)

[S335] arxiv.org/abs/2606.21140 · — via A9-terminal-bench-papers (w1)

[S336] github.com/facebookresearch/TUA-Bench · — via A9-terminal-bench-papers (w1)

[S337] tuabench.ai · — via A9-terminal-bench-papers (w1)

[S338] arxiv.org/abs/2606.28480 · — via A9-terminal-bench-papers (w1)

[S339] zli12321.github.io/LHTB/ · — via A9-terminal-bench-papers (w1)

[S340] arxiv.org/abs/2607.08964 · — via A9-terminal-bench-papers (w1)

[S341] github.com/lilt/terminal-bench-lilt · — via A9-terminal-bench-papers (w1)

[S342] arxiv.org/abs/2608.28641 · — via A9-terminal-bench-papers (w1)

[S343] majoroth.github.io/hack-verifiable-environments/hvtb · — via A9-terminal-bench-papers (w1)

[S344] arxiv.org/abs/2608.22103 · — via A9-terminal-bench-papers (w1)

[S345] huggingface.co/api/datasets?search=agentic&sort=downloads&direction=-1&limit=100 · — via C5-hf-hub-scan-toolcalling (w1)

[S346] huggingface.co/api/datasets?search=tool+use&sort=downloads&direction=-1&limit=100 · — via C5-hf-hub-scan-toolcalling (w1)

[S347] huggingface.co/datasets/fireworks-ai/function-calling-eval-dataset-v0 · — via C5-hf-hub-scan-toolcalling (w1)

[S348] huggingface.co/datasets/lockon/xlam-function-calling-60k · — via C5-hf-hub-scan-toolcalling (w1)

[S349] huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset · — via C5-hf-hub-scan-toolcalling (w1)

[S350] huggingface.co/datasets/minpeter/xlam-function-calling-60k-parsed · — via C5-hf-hub-scan-toolcalling (w1)

[S351] huggingface.co/datasets/NobodyExistsOnTheInternet/xlam-function-calling-60k · — via C5-hf-hub-scan-toolcalling (w1)

[S352] huggingface.co/datasets/argilla/apigen-function-calling · — via C5-hf-hub-scan-toolcalling (w1)

[S353] huggingface.co/datasets/nvidia/Nemotron-SFT-Agentic-v2 · — via C5-hf-hub-scan-toolcalling (w1)

[S354] huggingface.co/datasets/Locutusque/function-calling-chatml · — via C5-hf-hub-scan-toolcalling (w1)

[S355] huggingface.co/datasets/product-science/xlam-function-calling-60k-raw · — via C5-hf-hub-scan-toolcalling (w1)

[S356] huggingface.co/datasets/agentica-org/DeepCoder-Preview-Dataset · — via C5-hf-hub-scan-toolcalling (w1)

[S357] huggingface.co/datasets/nvidia/Nemotron-AIQ-Agentic-Safety-Dataset-1.0 · — via C5-hf-hub-scan-toolcalling (w1)

[S358] huggingface.co/datasets/minpeter/xlam-function-calling-60k-hermes · — via C5-hf-hub-scan-toolcalling (w1)

[S359] huggingface.co/datasets/glaiveai/glaive-function-calling · — via C5-hf-hub-scan-toolcalling (w1)

[S360] huggingface.co/datasets/AgenticCommons/formal-math-autoformalization · — via C5-hf-hub-scan-toolcalling (w1)

[S361] huggingface.co/datasets/hypervariance/function-calling-sharegpt · — via C5-hf-hub-scan-toolcalling (w1)

[S362] huggingface.co/datasets/thibaud-perrin/hibo-function-calling-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S363] huggingface.co/datasets/hiyouga/glaive-function-calling-v2-sharegpt · — via C5-hf-hub-scan-toolcalling (w1)

[S364] huggingface.co/datasets/shawnzzzh/AgenticDataBench · — via C5-hf-hub-scan-toolcalling (w1)

[S365] huggingface.co/datasets/NexusProjectsAI/Nexus-Agents-ToolCalling · — via C5-hf-hub-scan-toolcalling (w1)

[S366] huggingface.co/datasets/MathAndMagic/function-calling · — via C5-hf-hub-scan-toolcalling (w1)

[S367] huggingface.co/datasets/BitAgent/tool_calling · — via C5-hf-hub-scan-toolcalling (w1)

[S368] huggingface.co/datasets/interstellarninja/hermes_reasoning_tool_use · — via C5-hf-hub-scan-toolcalling (w1)

[S369] huggingface.co/datasets/NewEden/xlam-function-calling-60k-shareGPT · — via C5-hf-hub-scan-toolcalling (w1)

[S370] huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert · — via C5-hf-hub-scan-toolcalling (w1)

[S371] huggingface.co/datasets/eitanturok/Salesforce-xlam-function-calling-60k · — via C5-hf-hub-scan-toolcalling (w1)

[S372] huggingface.co/datasets/Goekdeniz-Guelmez/Function_Calling_Unfiltered · — via C5-hf-hub-scan-toolcalling (w1)

[S373] huggingface.co/datasets/nvidia/Nemotron-Agentic-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S374] huggingface.co/datasets/Vishal24/function_calling · — via C5-hf-hub-scan-toolcalling (w1)

[S375] huggingface.co/datasets/Trelis/function_calling_extended · — via C5-hf-hub-scan-toolcalling (w1)

[S376] huggingface.co/datasets/heegyu/glaive-function-calling-v2-formatted · — via C5-hf-hub-scan-toolcalling (w1)

[S377] huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S378] huggingface.co/datasets/agentic-ptb/sol-max-opusnode-data · — via C5-hf-hub-scan-toolcalling (w1)

[S379] huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S380] huggingface.co/datasets/Deepexi/function-calling-small · — via C5-hf-hub-scan-toolcalling (w1)

[S381] huggingface.co/datasets/allenai/Dolci-Instruct-SFT-Tool-Use · — via C5-hf-hub-scan-toolcalling (w1)

[S382] huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S383] huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-SWE-Pivot-v1 · — via C5-hf-hub-scan-toolcalling (w1)

[S384] huggingface.co/api/quicksearch?q=function+calling&type=dataset · — via C5-hf-hub-scan-toolcalling (w1)

[S385] huggingface.co/datasets/tennant/agentic-polymarket · — via C5-hf-hub-scan-toolcalling (w1)

[S386] huggingface.co/api/datasets?search=function+calling&sort=downloads&direction=-1&limit=100 · — via C5-hf-hub-scan-toolcalling (w1)

[S387] huggingface.co/api/datasets?search=tool+calling&sort=downloads&direction=-1&limit=100 · — via C5-hf-hub-scan-toolcalling (w1)

[S388] huggingface.co/api/datasets?search=function+calling&sort=likes&direction=-1&limit=100 · — via C5-hf-hub-scan-toolcalling (w1)

[S389] x.com/i/status/2092925821661184110 · — via C5-hf-hub-scan-toolcalling (w1)

[S390] x.com/i/status/2087972716288876769 · — via C5-hf-hub-scan-toolcalling (w1)

[S391] huggingface.co/datasets/xlangai/AgentNet · — via D6-agentnet-computer-use-traj (w1)

[S392] github.com/xlang-ai/OpenCUA · — via D6-agentnet-computer-use-traj (w1)

[S393] arxiv.org/abs/2508.09123 · — via D6-agentnet-computer-use-traj (w1)

[S394] arxiv.org/abs/2412.19723 · — via D6-agentnet-computer-use-traj (w1)

[S395] huggingface.co/datasets/OS-Copilot/OS-Genesis-mobile-data · — via D6-agentnet-computer-use-traj (w1)

[S396] github.com/OS-Copilot/OS-Genesis · — via D6-agentnet-computer-use-traj (w1)

[S397] arxiv.org/html/2412.19723 · — via D6-agentnet-computer-use-traj (w1)

[S398] arxiv.org/abs/2412.04454 · — via D6-agentnet-computer-use-traj (w1)

[S399] arxiv.org/html/2412.04454 · — via D6-agentnet-computer-use-traj (w1)

[S400] huggingface.co/datasets/xlangai/aguvis-stage1 · — via D6-agentnet-computer-use-traj (w1)

[S401] github.com/xlang-ai/aguvis · — via D6-agentnet-computer-use-traj (w1)

[S402] arxiv.org/abs/2402.07945 · — via D6-agentnet-computer-use-traj (w1)

[S403] arxiv.org/html/2402.07945 · — via D6-agentnet-computer-use-traj (w1)

[S404] github.com/niuzaisheng/ScreenAgent · — via D6-agentnet-computer-use-traj (w1)

[S405] raw.githubusercontent.com/xlang-ai/OpenCUA/main/README.md · — via D6-agentnet-computer-use-traj (w1)

[S406] raw.githubusercontent.com/niuzaisheng/ScreenAgent/main/README.md · — via D6-agentnet-computer-use-traj (w1)

[S407] raw.githubusercontent.com/OS-Copilot/OS-Genesis/main/README.md · — via D6-agentnet-computer-use-traj (w1)

[S408] raw.githubusercontent.com/xlang-ai/aguvis/main/README.md · — via D6-agentnet-computer-use-traj (w1)

[S409] huggingface.co/datasets/xlangai/aguvis-stage2 · — via D6-agentnet-computer-use-traj (w1)

[S410] huggingface.co/datasets/OS-Copilot/OS-Genesis-web-data · — via D6-agentnet-computer-use-traj (w1)

[S411] huggingface.co/datasets/xlangai/AgentNet/blob/main/meta_data_merged.jsonl · — via D6-agentnet-computer-use-traj (w1)

[S412] github.com/xlang-ai/OpenCUA/tree/main/AgentNetBench · — via D6-agentnet-computer-use-traj (w1)

[S413] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=swe · — via D8-hf-hub-scan-trajectories (w1)

[S414] huggingface.co/api/datasets/princeton-nlp/SWE-bench_Verified?full=true · — via D8-hf-hub-scan-trajectories (w1)

[S415] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=agent · — via D8-hf-hub-scan-trajectories (w1)

[S416] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=coding+agent · — via D8-hf-hub-scan-trajectories (w1)

[S417] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=trajectories · — via D8-hf-hub-scan-trajectories (w1)

[S418] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=trajectory · — via D8-hf-hub-scan-trajectories (w1)

[S419] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=%22agent+trajectory%22 · — via D8-hf-hub-scan-trajectories (w1)

[S420] huggingface.co/api/datasets?search=agent+trajectory&sort=downloads&direction=-1&limit=200 · — via D8-hf-hub-scan-trajectories (w1)

[S421] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=swe-bench · — via D8-hf-hub-scan-trajectories (w1)

[S422] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=sweagent · — via D8-hf-hub-scan-trajectories (w1)

[S423] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=swe+agent · — via D8-hf-hub-scan-trajectories (w1)

[S424] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=agentic · — via D8-hf-hub-scan-trajectories (w1)

[S425] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&author=SWE-agent · — via D8-hf-hub-scan-trajectories (w1)

[S426] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=SWE-Gym · — via D8-hf-hub-scan-trajectories (w1)

[S427] huggingface.co/api/datasets?sort=downloads&direction=-1&limit=200&search=swe&filter=benchmark · — via D8-hf-hub-scan-trajectories (w1)

[S428] huggingface.co/api/models?search=SWE-agent&sort=downloads&direction=-1` · — via D8-hf-hub-scan-trajectories (w1)

[S429] toloka.ai/ · — via E2-toloka-appen-prolific (w1)

[S430] toloka.ai/agent-data · — via E2-toloka-appen-prolific (w1)

[S431] toloka.ai/blog/introducing-the-new-toloka-platform/ · — via E2-toloka-appen-prolific (w1)

[S432] platform.toloka.ai/docs/explanation/pricing-and-billing/ · — via E2-toloka-appen-prolific (w1)

[S433] toloka.ai/blog/synthetic-data-is-now-available-on-the-toloka-platform/ · — via E2-toloka-appen-prolific (w1)

[S434] toloka.ai/legal/self-service-agreement-new · — via E2-toloka-appen-prolific (w1)

[S435] platform.toloka.ai/docs/how-to/account-team-balance/ · — via E2-toloka-appen-prolific (w1)

[S436] toloka.ai/arena-pricing · — via E2-toloka-appen-prolific (w1)

[S437] toloka.ai/experts · — via E2-toloka-appen-prolific (w1)

[S438] platform.toloka.ai/docs/explanation/how-the-platform-works/ · — via E2-toloka-appen-prolific (w1)

[S439] www.appen.com/ · — via E2-toloka-appen-prolific (w1)

[S440] www.appen.com/agentic-ai · — via E2-toloka-appen-prolific (w1)

[S441] www.appen.com/ai-data/data-annotation · — via E2-toloka-appen-prolific (w1)

[S442] kr.appen.com/ · — via E2-toloka-appen-prolific (w1)

[S443] www.appen.com/enterprise-data · — via E2-toloka-appen-prolific (w1)

[S444] www.prolific.com/pricing · — via E2-toloka-appen-prolific (w1)

[S445] researcher-help.prolific.com/en/articles/445239-what-is-your-pricing · — via E2-toloka-appen-prolific (w1)

[S446] www.prolific.com/ai-task-builder · — via E2-toloka-appen-prolific (w1)

[S447] www.prolific.com/agentic-ai · — via E2-toloka-appen-prolific (w1)

[S448] www.prolific.com/ai-taskers · — via E2-toloka-appen-prolific (w1)

[S449] participant-help.prolific.com/en/articles/445015-ai-taskers · — via E2-toloka-appen-prolific (w1)

[S450] researcher-help.prolific.com/en/articles/445224-who-are-the-participants-on-prolific · — via E2-toloka-appen-prolific (w1)

[S451] researcher-help.prolific.com/en/articles/445129-study-cost · — via E2-toloka-appen-prolific (w1)

[S452] arxiv.org/html/2406.18518v1 · — via F1-apigen-method (w1)

[S453] github.com/Salesforce/APIGen · — via F1-apigen-method (w1)

[S454] github.com/Team-ACE/ToolACE · — via F2-toolace-method (w1)

[S455] arxiv.org/abs/2406.08464 · — via F3-magpie-selfinstruct-tool (w1)

[S456] arxiv.org/abs/2212.10560 · — via F3-magpie-selfinstruct-tool (w1)

[S457] github.com/yizhongw/self-instruct · — via F3-magpie-selfinstruct-tool (w1)

[S458] huggingface.co/datasets/codelion/Llama-3.2-1B-Instruct-magpie-tool-calling · — via F3-magpie-selfinstruct-tool (w1)

[S459] huggingface.co/datasets?search=magpie%20tool · — via F3-magpie-selfinstruct-tool (w1)

[S460] huggingface.co/Magpie-Align · — via F3-magpie-selfinstruct-tool (w1)

[S461] huggingface.co/datasets/argilla/magpie-ultra-v1.0 · — via F3-magpie-selfinstruct-tool (w1)

[S462] distilabel.argilla.io/latest/components-gallery/tasks/magpie/ · — via F3-magpie-selfinstruct-tool (w1)

[S463] huggingface.co/datasets/nvidia/Nemotron-Terminal-Corpus · — via D7-terminal-bench-training-data (w1)

[S464] arxiv.org/abs/2602.21193 · — via D7-terminal-bench-training-data (w1)

[S465] huggingface.co/nvidia/Nemotron-Terminal-8B · — via D7-terminal-bench-training-data (w1)

[S466] huggingface.co/datasets/laion/nemotron-terminal-debugging · — via D7-terminal-bench-training-data (w1)

[S467] huggingface.co/datasets/laion/sft-repro-thinking-step630-nemotron-terminal-step1888-openthoughts-tblite-2026-0 · — via D7-terminal-bench-training-data (w1)

[S468] arxiv.org/abs/2602.01244 · — via D7-terminal-bench-training-data (w1)

[S469] github.com/multimodal-art-projection/TerminalTraj · — via D7-terminal-bench-training-data (w1)

[S470] arxiv.org/abs/2606.23321 · — via D7-terminal-bench-training-data (w1)

[S471] huggingface.co/datasets/hamishivi/swerl-tmax-15k · — via D7-terminal-bench-training-data (w1)

[S472] huggingface.co/datasets/wAI-org/swerl-tmax-15k-solvable-gpt-5-6-terra · — via D7-terminal-bench-training-data (w1)

[S473] huggingface.co/datasets/hamishivi/agent-task-recursive-task-synthesis · — via D7-terminal-bench-training-data (w1)

[S474] huggingface.co/datasets/TMaxxx/agent-task-recursive-task-synthesis · — via D7-terminal-bench-training-data (w1)

[S475] huggingface.co/datasets/hamishivi/tmax-sft-full-20260403 · — via D7-terminal-bench-training-data (w1)

[S476] huggingface.co/allenai/tmax-9b · — via D7-terminal-bench-training-data (w1)

[S477] huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-SFT · — via D7-terminal-bench-training-data (w1)

[S478] huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-v1-RL · — via D7-terminal-bench-training-data (w1)

[S479] huggingface.co/datasets/open-thoughts/OpenThoughts-TBLite · — via D7-terminal-bench-training-data (w1)

[S480] huggingface.co/api/datasets?author=DCAgent · — via D7-terminal-bench-training-data (w1)

[S481] huggingface.co/datasets/mlfoundations-dev/terminal-bench-traces-local · — via D7-terminal-bench-training-data (w1)

[S482] huggingface.co/datasets/DCAgent/tbench-easy-unofficial-codex-gpt5-trials · — via D7-terminal-bench-training-data (w1)

[S483] huggingface.co/datasets/nlile/misc-merged-claude-code-traces-v1 · — via D7-terminal-bench-training-data (w1)

[S484] huggingface.co/api/datasets?search=claude%20code · — via D7-terminal-bench-training-data (w1)

[S485] huggingface.co/datasets/Danau5tin/terminal-tasks · — via D7-terminal-bench-training-data (w1)

[S486] huggingface.co/datasets/harborframework/terminal-bench-2.0 · — via D7-terminal-bench-training-data (w1)

[S487] huggingface.co/datasets/IntelligenceLab/Long-Horizon-Terminal-Bench · — via D7-terminal-bench-training-data (w1)

[S488] huggingface.co/datasets/muellerzr/text_to_terminal_v2 · — via D7-terminal-bench-training-data (w1)

[S489] huggingface.co/datasets/James4Ever0/asciinema_terminal_recordings · — via D7-terminal-bench-training-data (w1)

[S490] api.github.com/search/repositories?q=terminal-task-gen · — via D7-terminal-bench-training-data (w1)

[S491] huggingface.co/datasets/m-a-p/TerminalTraj · — via D7-terminal-bench-training-data (w1)

[S492] github.com/hamishivi/tmax · — via D7-terminal-bench-training-data (w1)

[S493] huggingface.co/api/datasets?author=mlfoundations-dev&search=sandboxes · — via D7-terminal-bench-training-data (w1)

[S494] huggingface.co/datasets/DCAgent/GPT-5-terminal-bench-2 · — via D7-terminal-bench-training-data (w1)

[S495] huggingface.co/datasets/AlinCiocan/fable-5-claude-code-traces · — via D7-terminal-bench-training-data (w1)

[S496] huggingface.co/datasets/armand0e/claude-fable-5-claude-code · — via D7-terminal-bench-training-data (w1)

[S497] huggingface.co/datasets/ia03/terminal-bench · — via D7-terminal-bench-training-data (w1)

[S498] arxiv.org/html/2410.18447v2 · — via F5-toolflow-agentgen (w1)

[S499] arxiv.org/html/2407.03502v1 · — via F5-toolflow-agentgen (w1)

[S500] arxiv.org/abs/2306.02707 · — via F5-toolflow-agentgen (w1)

[S501] arxiv.org/html/2306.02707 · — via F5-toolflow-agentgen (w1)

[S502] arxiv.org/abs/2605.12521 · — via F5-toolflow-agentgen (w1)

[S503] www.tbench.ai/leaderboard/terminal-bench/2.0` · — via A8-terminal-leaderboards-browse (w1)

[S504] www.tbench.ai/leaderboard/terminal-bench/2.0 · — via A8-terminal-leaderboards-browse (w1)

[S505] osworld-v1.xlang.ai/` · — via A8-terminal-leaderboards-browse (w1)

[S506] osworld-v2.xlang.ai/` · — via A8-terminal-leaderboards-browse (w1)

[S507] osworld-v1.xlang.ai/ · — via A8-terminal-leaderboards-browse (w1)

[S508] osworld-v1.xlang.ai/static/data/osworld_verified_results.xlsx · — via A8-terminal-leaderboards-browse (w1)

[S509] osworld-v2.xlang.ai/static/data/leaderboard/official-results.json?v=leaderboard-v21-v1 · — via A8-terminal-leaderboards-browse (w1)

[S510] osworld-v2-monitor.xlang.ai/leaderboard` · — via A8-terminal-leaderboards-browse (w1)

[S511] labs.scale.com/leaderboard` · — via A8-terminal-leaderboards-browse (w1)

[S512] openbmb.github.io/ToolBench/leaderboard.html` · — via B6-toolbench-leaderboards-browse (w1)

[S513] openbmb.github.io/ToolBench/ · — via B6-toolbench-leaderboards-browse (w1)

[S514] raw.githubusercontent.com/OpenBMB/ToolBench/master/toolbench/tooleval/results/leaderboard%23%23%23default_eval · — via B6-toolbench-leaderboards-browse (w1)

[S515] raw.githubusercontent.com/OpenBMB/ToolBench/master/toolbench/tooleval/results/leaderboard%23%23%23default_eval · — via B6-toolbench-leaderboards-browse (w1)

[S516] api.github.com/repos/OpenBMB/ToolBench/commits?path=toolbench/tooleval/results · — via B6-toolbench-leaderboards-browse (w1)

[S517] api.github.com/repos/OpenBMB/ToolBench · — via B6-toolbench-leaderboards-browse (w1)

[S518] stabletoolbench.github.io/leaderboard.html` · — via B6-toolbench-leaderboards-browse (w1)

[S519] zhichengg.github.io/stb.github.io/ · — via B6-toolbench-leaderboards-browse (w1)

[S520] hn.algolia.com/api/v1/search?query=ToolBench&tags=story · — via B6-toolbench-leaderboards-browse (w1)

[S521] raw.githubusercontent.com/OpenBMB/ToolBench/master/toolbench/tooleval/results/leaderboard%23%23%23default_eval · — via B6-toolbench-leaderboards-browse (w1)

[S522] api.github.com/repos/zhichengg/stb.github.io · — via B6-toolbench-leaderboards-browse (w1)

[S523] web.archive.org/cdx/search/cdx?url=zhichengg.github.io/stb.github.io* · — via B6-toolbench-leaderboards-browse (w1)

[S524] api.github.com/search/repositories?q=StableToolBench · — via B6-toolbench-leaderboards-browse (w1)

[S525] hn.algolia.com/api/v1/search?query=%22Berkeley%20Function%20Calling%20Leaderboard%22&tags=story · — via B6-toolbench-leaderboards-browse (w1)

[S526] github.com/chenchen0103/ACEBench · — via B7-toolbench-papers-2025 (w1)

[S527] arxiv.org/abs/2501.02506 · — via B7-toolbench-papers-2025 (w1)

[S528] arxiv.org/abs/2503.01763 · — via B7-toolbench-papers-2025 (w1)

[S529] arxiv.org/abs/2506.22853 · — via B7-toolbench-papers-2025 (w1)

[S530] github.com/snuhcc/DICE-Bench · — via B7-toolbench-papers-2025 (w1)

[S531] arxiv.org/abs/2508.07575 · — via B7-toolbench-papers-2025 (w1)

[S532] arxiv.org/abs/2511.11933 · — via B7-toolbench-papers-2025 (w1)

[S533] arxiv.org/abs/2510.25726 · — via B7-toolbench-papers-2025 (w1)

[S534] github.com/hkust-nlp/Toolathlon · — via B7-toolbench-papers-2025 (w1)

[S535] arxiv.org/abs/2605.27995 · — via B7-toolbench-papers-2025 (w1)

[S536] arxiv.org/abs/2606.25819 · — via B7-toolbench-papers-2025 (w1)

[S537] arxiv.org/abs/2606.28061 · — via B7-toolbench-papers-2025 (w1)

[S538] arxiv.org/abs/2607.14642 · — via B7-toolbench-papers-2025 (w1)

[S539] arxiv.org/abs/2607.10490 · — via B7-toolbench-papers-2025 (w1)

[S540] arxiv.org/abs/2607.20531 · — via B7-toolbench-papers-2025 (w1)

[S541] arxiv.org/abs/2607.20536 · — via B7-toolbench-papers-2025 (w1)

[S542] arxiv.org/abs/2607.23722 · — via B7-toolbench-papers-2025 (w1)

[S543] arxiv.org/abs/2608.03071 · — via B7-toolbench-papers-2025 (w1)

[S544] arxiv.org/abs/2608.02372 · — via B7-toolbench-papers-2025 (w1)

[S545] arxiv.org/abs/2608.02358 · — via B7-toolbench-papers-2025 (w1)

[S546] arxiv.org/abs/2608.10042 · — via B7-toolbench-papers-2025 (w1)

[S547] arxiv.org/abs/2608.26295 · — via B7-toolbench-papers-2025 (w1)

[S548] arxiv.org/abs/2608.23035 · — via B7-toolbench-papers-2025 (w1)

[S549] arxiv.org/abs/2608.29397 · — via B7-toolbench-papers-2025 (w1)

[S550] arxiv.org/abs/2608.26199 · — via B7-toolbench-papers-2025 (w1)

[S551] arxiv.org/abs/2609.16305 · — via B7-toolbench-papers-2025 (w1)

[S552] arxiv.org/abs/2609.17985 · — via B7-toolbench-papers-2025 (w1)

[S553] arxiv.org/abs/2609.12345 · — via B7-toolbench-papers-2025 (w1)

[S554] arxiv.org/abs/2609.10962 · — via B7-toolbench-papers-2025 (w1)

[S555] arxiv.org/abs/2607.25891 · — via B7-toolbench-papers-2025 (w1)

[S556] arxiv.org/abs/2506.11045 · — via B7-toolbench-papers-2025 (w1)

[S557] huggingface.co/datasets/casey-martin/BUTTON-MT-function-calling · — via C9-multi-turn-tool-datasets (w1)

[S558] huggingface.co/api/datasets/casey-martin/BUTTON-MT-function-calling · — via C9-multi-turn-tool-datasets (w1)

[S559] arxiv.org/abs/2503.00564 · — via C9-multi-turn-tool-datasets (w1)

[S560] raw.githubusercontent.com/holi-lab/ToolDial/main/README.md · — via C9-multi-turn-tool-datasets (w1)

[S561] raw.githubusercontent.com/holi-lab/ToolDial/main/LICENSE · — via C9-multi-turn-tool-datasets (w1)

[S562] arxiv.org/html/2505.13328 · — via C9-multi-turn-tool-datasets (w1)

[S563] arxiv.org/abs/2410.12952 · — via C9-multi-turn-tool-datasets (w1)

[S564] scale.com/data-engine · — via E1-scale-surge (w1)

[S565] scale.com/generative-ai-data-engine · — via E1-scale-surge (w1)

[S566] scale.com/docs/genai-data-engine · — via E1-scale-surge (w1)

[S567] scale.com/blog/swe-bench-pro · — via E1-scale-surge (w1)

[S568] labs.scale.com/leaderboard/swe_bench_pro_public · — via E1-scale-surge (w1)

[S569] labs.scale.com/leaderboard/swe_bench_pro_private · — via E1-scale-surge (w1)

[S570] labs.scale.com/leaderboard · — via E1-scale-surge (w1)

[S571] scale.com/genai-portfolio · — via E1-scale-surge (w1)

[S572] scale.com/enterprise/agentic-solutions · — via E1-scale-surge (w1)

[S573] scale.com/demo · — via E1-scale-surge (w1)

[S574] surgehq.ai/ · — via E1-scale-surge (w1)

[S575] surgehq.ai/products · — via E1-scale-surge (w1)

[S576] surgehq.ai/ots · — via E1-scale-surge (w1)

[S577] surgehq.ai/blog/hill-climbing-swe-agent-kimi-k-2-7 · — via E1-scale-surge (w1)

[S578] surgehq.ai/blog/rl-envs-real-world · — via E1-scale-surge (w1)

[S579] surgehq.ai/research · — via E1-scale-surge (w1)

[S580] surgehq.ai/benchmarks · — via E1-scale-surge (w1)

[S581] surgehq.ai/swe · — via E1-scale-surge (w1)

[S582] surgehq.ai/workforce · — via E1-scale-surge (w1)

[S583] surgehq.ai/enterprise · — via E1-scale-surge (w1)

[S584] surgehq.ai/contact · — via E1-scale-surge (w1)

[S585] scale.com/blog/vero · — via E1-scale-surge (w1)

[S586] scale.com/blog/insights-generator · — via E1-scale-surge (w1)

[S587] www.mercor.com/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S588] www.mercor.com/experts/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S589] work.mercor.com/explore · — via E3-mercor-datacurve-turing-invisible (w1)

[S590] www.mercor.com/apex/off-the-shelf-data/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S591] www.mercor.com/data/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S592] www.cnbc.com/2025/10/27/ai-hiring-startup-mercor-funding.html · — via E3-mercor-datacurve-turing-invisible (w1)

[S593] time.com/7322386/ai-mercor-professional-tasks-data-annotation/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S594] en.wikipedia.org/wiki/Mercor · — via E3-mercor-datacurve-turing-invisible (w1)

[S595] www.datacurve.ai/products · — via E3-mercor-datacurve-turing-invisible (w1)

[S596] www.datacurve.ai/research · — via E3-mercor-datacurve-turing-invisible (w1)

[S597] deepswe.datacurve.ai/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S598] techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scaleai/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S599] www.turing.com/frontier-ai · — via E3-mercor-datacurve-turing-invisible (w1)

[S600] work.turing.com/jobs?interest=software-engineer · — via E3-mercor-datacurve-turing-invisible (w1)

[S601] work.turing.com/jobs?interest=software-engineer&jobId=104024 · — via E3-mercor-datacurve-turing-invisible (w1)

[S602] help.turing.com/articles/9695053382-how-to-get-paid · — via E3-mercor-datacurve-turing-invisible (w1)

[S603] www.turing.com/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S604] www.invisible.co/data-lab · — via E3-mercor-datacurve-turing-invisible (w1)

[S605] www.invisible.co/data-lab/data · — via E3-mercor-datacurve-turing-invisible (w1)

[S606] www.invisible.co/get-started · — via E3-mercor-datacurve-turing-invisible (w1)

[S607] www.invisible.co/custom-solutions · — via E3-mercor-datacurve-turing-invisible (w1)

[S608] www.invisible.co/how-we-work · — via E3-mercor-datacurve-turing-invisible (w1)

[S609] www.invisible.co/newsroom · — via E3-mercor-datacurve-turing-invisible (w1)

[S610] work.mercor.com/explore/ · — via E3-mercor-datacurve-turing-invisible (w1)

[S611] www.invisible.co/data-lab/experts · — via E3-mercor-datacurve-turing-invisible (w1)

[S612] snorkel.ai/ · — via E4-snorkel-labelbox-argilla (w1)

[S613] snorkel.ai/data-development/ · — via E4-snorkel-labelbox-argilla (w1)

[S614] snorkel.ai/specialized-agents/ · — via E4-snorkel-labelbox-argilla (w1)

[S615] snorkel.ai/how-it-works/ · — via E4-snorkel-labelbox-argilla (w1)

[S616] snorkel.ai/expert-community/ · — via E4-snorkel-labelbox-argilla (w1)

[S617] snorkel.ai/pricing/ · — via E4-snorkel-labelbox-argilla (w1)

[S618] web.archive.org/cdx/search/cdx?url=snorkel.ai/pricing&output=text&limit=12&collapse=timestamp:6 · — via E4-snorkel-labelbox-argilla (w1)

[S619] snorkel.ai/free-llm-evaluation-terms-and-conditions/ · — via E4-snorkel-labelbox-argilla (w1)

[S620] snorkel.ai/terms/subscription/ · — via E4-snorkel-labelbox-argilla (w1)

[S621] x.com/SnorkelAI/status/1890125931534237952 · — via E4-snorkel-labelbox-argilla (w1)

[S622] x.com/SnorkelAI/status/1879267014155342247 · — via E4-snorkel-labelbox-argilla (w1)

[S623] techcrunch.com/tag/snorkel-ai/ · — via E4-snorkel-labelbox-argilla (w1)

[S624] snorkel.ai/blog/85-million-series-c-accelerating-data-centric-ai-enterprise/ · — via E4-snorkel-labelbox-argilla (w1)

[S625] x.com/Techmeme/status/1928460323029397651 · — via E4-snorkel-labelbox-argilla (w1)

[S626] snorkel.ai/press/ · — via E4-snorkel-labelbox-argilla (w1)

[S627] x.com/ai_news_flash_/status/2023007383702917593 · — via E4-snorkel-labelbox-argilla (w1)

[S628] labelbox.com/ · — via E4-snorkel-labelbox-argilla (w1)

[S629] labelbox.com/products/horizon/ · — via E4-snorkel-labelbox-argilla (w1)

[S630] labelbox.com/products/recursion/ · — via E4-snorkel-labelbox-argilla (w1)

[S631] labelbox.com/products/terra/ · — via E4-snorkel-labelbox-argilla (w1)

[S632] labelbox.com/products/alignerr/ · — via E4-snorkel-labelbox-argilla (w1)

[S633] www.alignerr.com/ · — via E4-snorkel-labelbox-argilla (w1)

[S634] docs.labelbox.com/docs/billing · — via E4-snorkel-labelbox-argilla (w1)

[S635] docs.labelbox.com/docs/limits · — via E4-snorkel-labelbox-argilla (w1)

[S636] docs.labelbox.com/docs/update-account-plan · — via E4-snorkel-labelbox-argilla (w1)

[S637] labelbox.com/pricing/ · — via E4-snorkel-labelbox-argilla (w1)

[S638] web.archive.org/cdx/search/cdx?url=labelbox.com/pricing&output=text&limit=12&collapse=timestamp:6 · — via E4-snorkel-labelbox-argilla (w1)

[S639] costbench.com/software/ai-data-labeling/labelbox/ · — via E4-snorkel-labelbox-argilla (w1)

[S640] argilla.io/ · — via E4-snorkel-labelbox-argilla (w1)

[S641] argilla.io/blog/argilla-joins-hugggingface · — via E4-snorkel-labelbox-argilla (w1)

[S642] github.com/argilla-io/argilla · — via E4-snorkel-labelbox-argilla (w1)

[S643] docs.argilla.io/latest/getting_started/quickstart/ · — via E4-snorkel-labelbox-argilla (w1)

[S644] argilla.io/pricing · — via E4-snorkel-labelbox-argilla (w1)

[S645] argilla.io/cloud · — via E4-snorkel-labelbox-argilla (w1)

[S646] argilla.io/blog/argilla-2-release · — via E4-snorkel-labelbox-argilla (w1)

[S647] argilla.io/blog/argilla-raises-1-6m · — via E4-snorkel-labelbox-argilla (w1)

[S648] distilabel.argilla.io/latest/components-gallery/tasks/apigengenerator/ · — via E4-snorkel-labelbox-argilla (w1)

[S649] x.com/fanpelt/status/1801745426242056358 · — via E4-snorkel-labelbox-argilla (w1)

[S650] x.com/SuperbCrew_com/status/1929528536928248212 · — via E4-snorkel-labelbox-argilla (w1)

[S651] www.together.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S652] web.archive.org/web/20250520000000/https://www.together.ai/blog/together-ai-acquires-refuel-ai · — via E5-together-nebius-synthetic-services (w1)

[S653] www.together.ai/blog/together-ai-acquires-refuel-ai · — via E5-together-nebius-synthetic-services (w1)

[S654] www.together.ai/blog/dsgym · — via E5-together-nebius-synthetic-services (w1)

[S655] www.together.ai/blog/deepswe · — via E5-together-nebius-synthetic-services (w1)

[S656] www.together.ai/ · — via E5-together-nebius-synthetic-services (w1)

[S657] www.nebius.com/services/token-factory · — via E5-together-nebius-synthetic-services (w1)

[S658] docs.nebius.com/studio/pricing · — via E5-together-nebius-synthetic-services (w1)

[S659] docs.nebius.com/studio/inference/pricing · — via E5-together-nebius-synthetic-services (w1)

[S660] www.nebius.com/prices · — via E5-together-nebius-synthetic-services (w1)

[S661] docs.nebius.com/applications/standalone/pricing · — via E5-together-nebius-synthetic-services (w1)

[S662] www.nebius.com/solutions/simulations · — via E5-together-nebius-synthetic-services (w1)

[S663] gretel.ai · — via E5-together-nebius-synthetic-services (w1)

[S664] www.gretel.ai · — via E5-together-nebius-synthetic-services (w1)

[S665] www.nvidia.com/en-us/use-cases/synthetic-data-generation-for-agentic-ai/ · — via E5-together-nebius-synthetic-services (w1)

[S666] huggingface.co/blog/nvidia/nemotron-personas · — via E5-together-nebius-synthetic-services (w1)

[S667] build.nvidia.com/nemo/data-designer · — via E5-together-nebius-synthetic-services (w1)

[S668] web.archive.org/web/20250320000000/https://gretel.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S669] web.archive.org/web/20240401000000/https://gretel.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S670] web.archive.org/web/20250320000000/https://gretel.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S671] techcrunch.com/2025/03/19/nvidia-reportedly-acquires-synthetic-data-startup-gretel/ · — via E5-together-nebius-synthetic-services (w1)

[S672] siliconangle.com/2025/03/19/nvidia-reportedly-acquires-gretel-320m-strengthen-ai-training-tools/ · — via E5-together-nebius-synthetic-services (w1)

[S673] nvidianews.nvidia.com/news/nvidia-acquires-gretel · — via E5-together-nebius-synthetic-services (w1)

[S674] pypi.org/project/gretel-client/ · — via E5-together-nebius-synthetic-services (w1)

[S675] mostly.ai/ · — via E5-together-nebius-synthetic-services (w1)

[S676] www.syntho.ai/syntho-acquires-mostly-ai-trademark-and-related-assets/ · — via E5-together-nebius-synthetic-services (w1)

[S677] mostly.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S678] mostly.ai/platform · — via E5-together-nebius-synthetic-services (w1)

[S679] www.syntho.ai/pricing/ · — via E5-together-nebius-synthetic-services (w1)

[S680] www.syntho.ai/frequently-asked-questions/ · — via E5-together-nebius-synthetic-services (w1)

[S681] pypi.org/project/mostlyai/ · — via E5-together-nebius-synthetic-services (w1)

[S682] arxiv.org/abs/2501.12012 · — via E5-together-nebius-synthetic-services (w1)

[S683] en.wikipedia.org/wiki/Datagen · — via E5-together-nebius-synthetic-services (w1)

[S684] datagen.tech/ · — via E5-together-nebius-synthetic-services (w1)

[S685] www.datagen.tech/ · — via E5-together-nebius-synthetic-services (w1)

[S686] web.archive.org/web/20260116132922/http://datagen.tech/ · — via E5-together-nebius-synthetic-services (w1)

[S687] web.archive.org/web/2023/https://datagen.tech/ · — via E5-together-nebius-synthetic-services (w1)

[S688] news.google.com/rss/search?q=Datagen+synthetic+data · — via E5-together-nebius-synthetic-services (w1)

[S689] news.google.com/rss/search?q=Datagen+acquired · — via E5-together-nebius-synthetic-services (w1)

[S690] web.archive.org/web/20260617072044/http://www.synthesis.ai/ · — via E5-together-nebius-synthetic-services (w1)

[S691] news.google.com/rss/search?q=%22Synthesis+AI%22+synthetic+data · — via E5-together-nebius-synthetic-services (w1)

[S692] web.archive.org/cdx/search/cdx?url=synthesis.ai/pricing&output=json · — via E5-together-nebius-synthetic-services (w1)

[S693] blogs.nvidia.com/?s=Gretel · — via E5-together-nebius-synthetic-services (w1)

[S694] news.google.com/rss/search?q=synthetic+data+market+size+2026+forecast · — via E5-together-nebius-synthetic-services (w1)

[S695] gretel.ai/pricing · — via E5-together-nebius-synthetic-services (w1)

[S696] arxiv.org/abs/2402.19173 · — via E6-licensed-code-corpora (w1)

[S697] blueoakcouncil.org/list · — via E6-licensed-code-corpora (w1)

[S698] huggingface.co/api/datasets/bigcode/the-stack-v2 · — via E6-licensed-code-corpora (w1)

[S699] github.com/bigcode-project/opt-out-v2 · — via E6-licensed-code-corpora (w1)

[S700] github.com/bigcode-project/the-stack-v2 · — via E6-licensed-code-corpora (w1)

[S701] github.com/bigcode-project/bigcode-dataset · — via E6-licensed-code-corpora (w1)

[S702] huggingface.co/datasets/bigcode/starcoder2data-extras · — via E6-licensed-code-corpora (w1)

[S703] huggingface.co/api/datasets/nvidia/Nemotron-CC-Code-v1 · — via E6-licensed-code-corpora (w1)

[S704] arxiv.org/abs/2412.02595 · — via E6-licensed-code-corpora (w1)

[S705] huggingface.co/api/datasets/nvidia/Nemotron-CC-v2 · — via E6-licensed-code-corpora (w1)

[S706] arxiv.org/abs/2411.04905 · — via E6-licensed-code-corpora (w1)

[S707] huggingface.co/datasets/OpenCoder-LLM/RefineCode-code-corpus-meta · — via E6-licensed-code-corpora (w1)

[S708] huggingface.co/datasets/OpenCoder-LLM/opc-fineweb-code-corpus · — via E6-licensed-code-corpora (w1)

[S709] www.softwareheritage.org/2023/10/19/swh-statement-on-llm-for-code/ · — via E6-licensed-code-corpora (w1)

[S710] arxiv.org/abs/2505.02881 · — via E6-licensed-code-corpora (w1)

[S711] huggingface.co/datasets/HuggingFaceCode/stack-v3-train · — via E6-licensed-code-corpora (w1)

[S712] scale.com/pricing · — via E7-vendor-pricing-browse (w1)

[S713] www.surgehq.ai/ · — via E7-vendor-pricing-browse (w1)

[S714] toloka.ai/crowdsourcing-platform · — via E7-vendor-pricing-browse (w1)

[S715] toloka-platform.zendesk.com/hc/en-gb/articles/23918642223260-Price-structure · — via E7-vendor-pricing-browse (w1)

[S716] appen.com/contact-us/ · — via E7-vendor-pricing-browse (w1)

[S717] www.datacurve.ai/ · — via E7-vendor-pricing-browse (w1)

[S718] labelbox.com/pricing · — via E7-vendor-pricing-browse (w1)

[S719] duckduckgo.com/?q=labelbox+pricing&ia=web · — via E7-vendor-pricing-browse (w1)

[S720] www.surgehq.ai/pricing · — via E7-vendor-pricing-browse (w1)

[S721] toloka.ai/talk-to-us · — via E7-vendor-pricing-browse (w1)

[S722] toloka.ai/sitemap.xml · — via E7-vendor-pricing-browse (w1)

[S723] appen.com/pricing · — via E7-vendor-pricing-browse (w1)

[S724] www.appen.com/sitemap.xml · — via E7-vendor-pricing-browse (w1)

[S725] www.mercor.com/pricing · — via E7-vendor-pricing-browse (w1)

[S726] www.datacurve.ai/pricing · — via E7-vendor-pricing-browse (w1)

[S727] snorkel.ai/pricing · — via E7-vendor-pricing-browse (w1)

[S728] arxiv.org/html/2505.09388 · — via G1-qwen3-qwen25coder (w1)

[S729] arxiv.org/html/2409.12186 · — via G1-qwen3-qwen25coder (w1)

[S730] arxiv.org/abs/2505.09388 · — via G1-qwen3-qwen25coder (w1)

[S731] arxiv.org/pdf/2505.09388 · — via G1-qwen3-qwen25coder (w1)

[S732] arxiv.org/abs/2409.12186 · — via G1-qwen3-qwen25coder (w1)

[S733] arxiv.org/pdf/2409.12186 · — via G1-qwen3-qwen25coder (w1)

[S734] arxiv.org/html/2407.21783` · — via G2-llama3 (w1)

[S735] arxiv.org/html/2407.21783v3` · — via G2-llama3 (w1)

[S736] arxiv.org/html/2407.21783 · — via G2-llama3 (w1)

[S737] arxiv.org/abs/2407.21783 · — via G2-llama3 (w1)

[S738] arxiv.org/pdf/2407.21783 · — via G2-llama3 (w1)

[S739] ar5iv.labs.arxiv.org/html/2407.21783 · — via G2-llama3 (w1)

[S740] ai.meta.com/blog/meta-llama-3/ · — via G2-llama3 (w1)

[S741] brave.com/search/api/` · — via G2-llama3 (w1)

[S742] products.wolframalpha.com/llm-api/documentation` · — via G2-llama3 (w1)

[S743] arxiv.org/abs/2507.20534 · — via G4-kimi-k2 (w1)

[S744] arxiv.org/html/2507.20534 · — via G4-kimi-k2 (w1)

[S745] huggingface.co/moonshotai/Kimi-K2-Instruct · — via G4-kimi-k2 (w1)

[S746] github.com/MoonshotAI/Kimi-K2 · — via G4-kimi-k2 (w1)

[S747] ar5iv.labs.arxiv.org/html/2507.20534 · — via G4-kimi-k2 (w1)

[S748] moonshotai.github.io/Kimi-K2/ · — via G4-kimi-k2 (w1)

[S749] x.com/Kimi_Moonshot/status/1947520758760313170 · — via G4-kimi-k2 (w1)

[S750] export.arxiv.org/api/query?search_query=ti:%22Kimi%20K2%22 · — via G4-kimi-k2 (w1)

[S751] moonshotai.github.io/Kimi-K2/thinking.html · — via G4-kimi-k2 (w1)

[S752] arxiv.org/pdf/2507.20534 · — via G4-kimi-k2 (w1)

[S753] arxiv.org/html/2507.20534v1 · — via G4-kimi-k2 (w1)

[S754] raw.githubusercontent.com/SWE-Gym/SWE-Gym/main/README.md · — via H1-executable-envs (w1)

[S755] raw.githubusercontent.com/R2E-Gym/R2E-Gym/main/README.md · — via H1-executable-envs (w1)

[S756] raw.githubusercontent.com/laude-institute/terminal-bench/main/README.md · — via H1-executable-envs (w1)

[S757] raw.githubusercontent.com/harbor-framework/harbor/main/README.md · — via H1-executable-envs (w1)

[S758] raw.githubusercontent.com/sierra-research/tau-bench/main/README.md · — via H1-executable-envs (w1)

[S759] raw.githubusercontent.com/sierra-research/tau2-bench/main/README.md · — via H1-executable-envs (w1)

[S760] raw.githubusercontent.com/ShishirPatil/gorilla/main/berkeley-function-call-leaderboard/README.md · — via H1-executable-envs (w1)

[S761] appworld.dev/appworld · — via H1-executable-envs (w1)

[S762] raw.githubusercontent.com/stonybrooknlp/appworld/main/README.md · — via H1-executable-envs (w1)

[S763] raw.githubusercontent.com/web-arena-x/webarena/main/README.md · — via H1-executable-envs (w1)

[S764] raw.githubusercontent.com/xlang-ai/OSWorld/main/README.md · — via H1-executable-envs (w1)

[S765] raw.githubusercontent.com/facebookresearch/MLGym/main/README.md · — via H1-executable-envs (w1)

[S766] arxiv.org/abs/2502.14499 · — via H1-executable-envs (w1)

[S767] r2e-gym.github.io/ · — via H1-executable-envs (w1)

[S768] the-agent-company.com · — via H1-executable-envs (w1)

[S769] github.com/volcengine/verl · — via H3-rl-frameworks-agentic (w1)

[S770] github.com/verl-project/uni-agent · — via H3-rl-frameworks-agentic (w1)

[S771] github.com/volcengine/verl/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S772] github.com/OpenRLHF/OpenRLHF · — via H3-rl-frameworks-agentic (w1)

[S773] github.com/OpenRLHF/OpenRLHF/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S774] github.com/THUDM/slime · — via H3-rl-frameworks-agentic (w1)

[S775] github.com/THUDM/slime/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S776] github.com/inclusionAI/AReaL · — via H3-rl-frameworks-agentic (w1)

[S777] github.com/inclusionAI/AReaL/blob/main/docs/en/tutorial/agentic_rl.md · — via H3-rl-frameworks-agentic (w1)

[S778] github.com/inclusionAI/AReaL/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S779] github.com/primeintellect-ai/prime-rl · — via H3-rl-frameworks-agentic (w1)

[S780] github.com/primeintellect-ai/prime-rl/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S781] github.com/alibaba/ROLL · — via H3-rl-frameworks-agentic (w1)

[S782] arxiv.org/abs/2510.11345 · — via H3-rl-frameworks-agentic (w1)

[S783] github.com/alibaba/ROLL/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S784] github.com/RAGEN-AI/RAGEN · — via H3-rl-frameworks-agentic (w1)

[S785] github.com/RAGEN-AI/RAGEN/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S786] github.com/NovaSky-AI/SkyRL · — via H3-rl-frameworks-agentic (w1)

[S787] github.com/NovaSky-AI/SkyRL/tree/main/skyrl-gym · — via H3-rl-frameworks-agentic (w1)

[S788] arxiv.org/pdf/2511.16108 · — via H3-rl-frameworks-agentic (w1)

[S789] www.mercor.com/blog/training-frontier-knowledge-work-agents-a-397b-rl-training-guide-with-skyrl/ · — via H3-rl-frameworks-agentic (w1)

[S790] github.com/NovaSky-AI/SkyRL/blob/main/LICENSE · — via H3-rl-frameworks-agentic (w1)

[S791] github.com/luban-agi/tool_use_benchmark · — via I1-awesome-lists (w1)

[S792] arxiv.org/abs/2311.10775 · — via I1-awesome-lists (w1)

[S793] arxiv.org/abs/2311.18760 · — via I1-awesome-lists (w1)

[S794] github.com/luban-agi/Awesome-Tool-Learning · — via I1-awesome-lists (w1)

[S795] github.com/Applied-Machine-Learning-Lab/Awesome-Function-Callings · — via I1-awesome-lists (w1)

[S796] github.com/EachSheep/ShortcutsBench · — via I1-awesome-lists (w1)

[S797] github.com/bigcode-project/bigcode-evaluation-harness · — via I1-awesome-lists (w1)

[S798] github.com/IBM/NESTFUL · — via I1-awesome-lists (w1)

[S799] github.com/IBM/API-Blend · — via I1-awesome-lists (w1)

[S800] arxiv.org/abs/2409.00557 · — via I1-awesome-lists (w1)

[S801] arxiv.org/abs/2402.07472 · — via I1-awesome-lists (w1)

[S802] arxiv.org/abs/2310.03220 · — via I1-awesome-lists (w1)

[S803] arxiv.org/abs/2311.09502 · — via I1-awesome-lists (w1)

[S804] arxiv.org/abs/2402.04397 · — via I1-awesome-lists (w1)

[S805] github.com/stonybrooknlp/appworld · — via I1-awesome-lists (w1)

[S806] github.com/hkust-nlp/agentboard · — via I1-awesome-lists (w1)

[S807] arxiv.org/abs/2402.01622 · — via I1-awesome-lists (w1)

[S808] arxiv.org/abs/2403.01502 · — via I1-awesome-lists (w1)

[S809] arxiv.org/abs/2310.15177 · — via I1-awesome-lists (w1)

[S810] arxiv.org/abs/2404.16765 · — via I1-awesome-lists (w1)

[S811] arxiv.org/abs/2402.14116 · — via I1-awesome-lists (w1)

[S812] github.com/Farama-Foundation/miniwob-plusplus · — via I1-awesome-lists (w1)

[S813] webshop-pnlp.github.io · — via I1-awesome-lists (w1)

[S814] github.com/OSU-NLP-Group/Mind2Web · — via I1-awesome-lists (w1)

[S815] webarena.dev · — via I1-awesome-lists (w1)

[S816] jykh.com/vwa · — via I1-awesome-lists (w1)

[S817] mcgill-nlp.github.io/weblinx · — via I1-awesome-lists (w1)

[S818] sites.google.com/view/st-webagentbench/home · — via I1-awesome-lists (w1)

[S819] github.com/google-research/google-research/tree/master/android_in_the_wild · — via I1-awesome-lists (w1)

[S820] os-world.github.io · — via I1-awesome-lists (w1)

[S821] microsoft.github.io/WindowsAgentArena · — via I1-awesome-lists (w1)

[S822] github.com/google-research/android_world · — via I1-awesome-lists (w1)

[S823] github.com/LlamaTouch/LlamaTouch · — via I1-awesome-lists (w1)

[S824] github.com/THUDM/Android-Lab · — via I1-awesome-lists (w1)

[S825] mobileagentbench.github.io · — via I1-awesome-lists (w1)

[S826] huggingface.co/datasets/Writer/omniact · — via I1-awesome-lists (w1)

[S827] spider2-v.github.io · — via I1-awesome-lists (w1)

[S828] github.com/liang0/videowebarena · — via I1-awesome-lists (w1)

[S829] github.com/magicgh/self-map · — via I1-awesome-lists (w1)

[S830] github.com/dataanswer/awesome-agent-benchmarks · — via I1-awesome-lists (w1)

[S831] github.com/kaushikb11/awesome-llm-agents · — via I1-awesome-lists (w1)

[S832] arxiv.org/abs/2310.03128 · — via I1-awesome-lists (w1)

[S833] github.com/snap-stanford/MLAgentBench · — via I1-awesome-lists (w1)

[S834] github.com/microsoft/SmartPlay · — via I1-awesome-lists (w1)

[S835] github.com/ryoungj/toolemu · — via I1-awesome-lists (w1)

[S836] github.com/salesforce/BOLAA · — via I1-awesome-lists (w1)

[S837] github.com/clp-research/clembench · — via I1-awesome-lists (w1)

[S838] github.com/X-LANCE/Mobile-Env · — via I1-awesome-lists (w1)

[S839] github.com/samuelschmidgall/agentclinic · — via I1-awesome-lists (w1)

[S840] github.com/hyp1231/awesome-llm-powered-agent · — via I1-awesome-lists (w1)

[S841] arxiv.org/abs/2407.00132 · — via I1-awesome-lists (w1)

[S842] arxiv.org/abs/2409.03797 · — via I1-awesome-lists (w1)

[S843] www.dataanswer.top/ · — via I1-awesome-lists (w1)

[S844] x.com/mvo4life/status/1944129484212388242 · — via I3-arxiv-survey-papers (w1)

[S845] huggingface.co/api/collections?owner=nvidia · — via I5-hf-collections-agentic (w1)

[S846] huggingface.co/collections/nvidia/nemotron-agentic-and-tool-use-69eab941262bacbd1cf720d5 · — via I5-hf-collections-agentic (w1)

[S847] huggingface.co/collections/nvidia/nemotron-post-training-v3-6939b7b93382bac738eebd17 · — via I5-hf-collections-agentic (w1)

[S848] huggingface.co/collections/nvidia/nemo-gym-68d1e0902765fbacc937bb4f · — via I5-hf-collections-agentic (w1)

[S849] huggingface.co/collections/nvidia/nemotron-supervised-fine-tuning-69eab9824c9120a3a3b1e25e · — via I5-hf-collections-agentic (w1)

[S850] huggingface.co/collections/nvidia/nemotron-terminal-6994e243e413ac89df407838 · — via I5-hf-collections-agentic (w1)

[S851] huggingface.co/collections/nvidia/nemotron-code-and-swe-69eab93422e8a265d5b67f08 · — via I5-hf-collections-agentic (w1)

[S852] huggingface.co/collections/nvidia/nemotron-safety-and-content-moderation-69eab93d8fee42bcba96d813 · — via I5-hf-collections-agentic (w1)

[S853] huggingface.co/collections/Salesforce/xlam-models-65f00e2a0a63bbcd1c2dade4 · — via I5-hf-collections-agentic (w1)

[S854] huggingface.co/collections/Salesforce/gta1-68d4ddc72ca7fdab388804e7 · — via I5-hf-collections-agentic (w1)

[S855] huggingface.co/collections/Salesforce/gui-process-automation-699ff0de10196ad126d70913 · — via I5-hf-collections-agentic (w1)

[S856] huggingface.co/collections/Salesforce/swerank-6859a38d541e7801e6406554 · — via I5-hf-collections-agentic (w1)

[S857] huggingface.co/collections/NousResearch/atropos-artifacts-68110ab511c5af02830247b6 · — via I5-hf-collections-agentic (w1)

[S858] huggingface.co/collections/allenai/olmo-hybrid-69a635e441e5e425ed914478 · — via I5-hf-collections-agentic (w1)

[S859] huggingface.co/collections/Team-ACE/envace-6a9e2c636a706f3d8625ba62 · — via I5-hf-collections-agentic (w1)

[S860] huggingface.co/collections/nebius/swe-rebench-v2-69a5b169ac0e472c2b11b567 · — via I5-hf-collections-agentic (w1)

[S861] huggingface.co/collections/nebius/openhands-trajectories-692d85b14d95f38020302f2a · — via I5-hf-collections-agentic (w1)

[S862] huggingface.co/collections/SWE-bench/swe-bench-68113bc99eb3a64a91ea33c9 · — via I5-hf-collections-agentic (w1)

[S863] huggingface.co/collections/SWE-bench/swe-smith-693ef4ce67557b5c107e9a0d · — via I5-hf-collections-agentic (w1)

[S864] huggingface.co/collections/SWE-bench/swe-agent-lm-693f0d69e617c1f8ffa17aaf · — via I5-hf-collections-agentic (w1)

[S865] huggingface.co/api/collections?owner=Salesforce · — via I5-hf-collections-agentic (w1)

[S866] huggingface.co/api/collections?owner=NousResearch · — via I5-hf-collections-agentic (w1)

[S867] huggingface.co/api/collections?owner=allenai · — via I5-hf-collections-agentic (w1)

[S868] huggingface.co/api/collections?owner=Team-ACE · — via I5-hf-collections-agentic (w1)

[S869] huggingface.co/api/collections?owner=nebius · — via I5-hf-collections-agentic (w1)

[S870] huggingface.co/api/collections?owner=SWE-bench · — via I5-hf-collections-agentic (w1)

[S871] huggingface.co/api/collections/nvidia/nemotron-agentic-and-tool-use-69eab941262bacbd1cf720d5 · — via I5-hf-collections-agentic (w1)

[S872] huggingface.co/api/collections/Salesforce/xlam-models-65f00e2a0a63bbcd1c2dade4 · — via I5-hf-collections-agentic (w1)

[S873] huggingface.co/api/collections/Team-ACE/envace-6a9e2c636a706f3d8625ba62 · — via I5-hf-collections-agentic (w1)

[S874] huggingface.co/api/collections/nebius/openhands-trajectories-692d85b14d95f38020302f2a · — via I5-hf-collections-agentic (w1)

[S875] huggingface.co/api/collections/SWE-bench/swe-bench-68113bc99eb3a64a91ea33c9 · — via I5-hf-collections-agentic (w1)

[S876] arxiv.org/html/2508.06471 · — via G5-glm45-nemotron (w1)

[S877] arxiv.org/html/2505.00949 · — via G5-glm45-nemotron (w1)

[S878] arxiv.org/html/2504.03624 · — via G5-glm45-nemotron (w1)

[S879] arxiv.org/html/2406.11704 · — via G5-glm45-nemotron (w1)

[S880] github.com/zai-org/GLM-4.5 · — via G5-glm45-nemotron (w1)

[S881] huggingface.co/nvidia/Llama-Nemotron-Post-Training-Dataset · — via G5-glm45-nemotron (w1)

[S882] huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1_5 · — via G5-glm45-nemotron (w1)

[S883] huggingface.co/zai-org/GLM-4.5 · — via G5-glm45-nemotron (w1)

[S884] arxiv.org/abs/2406.04151 · — via G5-glm45-nemotron (w1)

[S885] arxiv.org/abs/2512.20856 · — via G5-glm45-nemotron (w1)

[S886] arxiv.org/html/2501.00656 · — via G6-olmo2-smollm3-openreports (w1)

[S887] huggingface.co/blog/smollm3 · — via G6-olmo2-smollm3-openreports (w1)

[S888] huggingface.co/HuggingFaceTB/SmolLM3-3B · — via G6-olmo2-smollm3-openreports (w1)

[S889] arxiv.org/html/2509.07604 · — via G6-olmo2-smollm3-openreports (w1)

[S890] arxiv.org/html/2509.14233 · — via G6-olmo2-smollm3-openreports (w1)

[S891] arxiv.org/html/2604.12973 · — via G6-olmo2-smollm3-openreports (w1)

[S892] marin.readthedocs.io/en/latest/reports/marin-8b-retro/ · — via G6-olmo2-smollm3-openreports (w1)

[S893] marin.readthedocs.io/en/latest/reports/marin-32b-retro/ · — via G6-olmo2-smollm3-openreports (w1)

[S894] marin.community/ · — via G6-olmo2-smollm3-openreports (w1)

[S895] arxiv.org/abs/2501.00656 · — via G6-olmo2-smollm3-openreports (w1)

[S896] arxiv.org/abs/2509.07604 · — via G6-olmo2-smollm3-openreports (w1)

[S897] arxiv.org/abs/2509.14233 · — via G6-olmo2-smollm3-openreports (w1)

[S898] arxiv.org/abs/2509.13310 · — via G8-placement-papers-ablation (w1)

[S899] arxiv.org/html/2509.13310v1 · — via G8-placement-papers-ablation (w1)

[S900] arxiv.org/abs/2608.20314 · — via G8-placement-papers-ablation (w1)

[S901] arxiv.org/html/2608.20314v1 · — via G8-placement-papers-ablation (w1)

[S902] arxiv.org/abs/2601.18418 · — via G8-placement-papers-ablation (w1)

[S903] arxiv.org/html/2601.18418v2 · — via G8-placement-papers-ablation (w1)

[S904] arxiv.org/abs/2608.04934 · — via G8-placement-papers-ablation (w1)

[S905] arxiv.org/html/2608.04934v1 · — via G8-placement-papers-ablation (w1)

[S906] arxiv.org/abs/2512.24618 · — via G8-placement-papers-ablation (w1)

[S907] arxiv.org/html/2512.24618v2 · — via G8-placement-papers-ablation (w1)

[S908] arxiv.org/html/2510.24701v3 · — via G8-placement-papers-ablation (w1)

[S909] arxiv.org/html/2509.23045v3 · — via G8-placement-papers-ablation (w1)

[S910] arxiv.org/html/2512.20491v4 · — via G8-placement-papers-ablation (w1)

[S911] arxiv.org/html/2603.15726v1 · — via G8-placement-papers-ablation (w1)

[S912] arxiv.org/abs/2510.24701 · — via G8-placement-papers-ablation (w1)

[S913] arxiv.org/abs/2509.23045 · — via G8-placement-papers-ablation (w1)

[S914] arxiv.org/abs/2512.20491 · — via G8-placement-papers-ablation (w1)

[S915] arxiv.org/abs/2603.15726 · — via G8-placement-papers-ablation (w1)

[S916] arxiv.org/abs/2605.29561 · — via G8-placement-papers-ablation (w1)

[S917] hyper.ai/ko/datasets/nemotron-rl-agentic-terminal-pivot-v1 · — via I4-korean-community-signal (w1)

[S918] m.blog.naver.com/korea_sugar/223598724052 · — via I4-korean-community-signal (w1)

[S919] github.com/gspain89/claw-bench-ko · — via I4-korean-community-signal (w1)

[S920] github.com/johunsang/vive-md/blob/main/vibe-coding/mcp/Awesome-MCP-Servers-한국어-가이드.md · — via I4-korean-community-signal (w1)

[S921] discuss.pytorch.kr/t/the-llm-evaluation-guidebook-hugging-face-llm/8385 · — via I4-korean-community-signal (w1)

[S922] arxiv.org/html/2412.21139 · — via F6-gym-rollout-generation (w1)

[S923] arxiv.org/html/2504.07164 · — via F6-gym-rollout-generation (w1)

[S924] arxiv.org/html/2601.11868 · — via F6-gym-rollout-generation (w1)

[S925] raw.githubusercontent.com/laude-institute/harbor/main/README.md · — via F6-gym-rollout-generation (w1)

[S926] hub.harborframework.com/ · — via F6-gym-rollout-generation (w1)

[S927] arxiv.org/abs/2609.11042 · — via F6-gym-rollout-generation (w1)

[S928] arxiv.org/abs/2607.05378 · — via F6-gym-rollout-generation (w1)

[S929] arxiv.org/html/2406.12045 · — via F6-gym-rollout-generation (w1)

[S930] arxiv.org/abs/2509.13311 · — via F6-gym-rollout-generation (w1)

[S931] raw.githubusercontent.com/ShishirPatil/gorilla/main/README.md · — via F6-gym-rollout-generation (w1)

[S932] arxiv.org/html/2504.21798 · — via F6-gym-rollout-generation (w1)

[S933] arxiv.org/abs/2502.18449 · — via F6-gym-rollout-generation (w1)

[S934] arxiv.org/abs/2511.16108 · — via F6-gym-rollout-generation (w1)

[S935] harborframework.com/docs · — via F6-gym-rollout-generation (w1)

[S936] huggingface.co/SWE-Gym · — via F6-gym-rollout-generation (w1)

[S937] arxiv.org/abs/2412.19437 · — via G3-deepseek-v3-r1 (w1)

[S938] arxiv.org/abs/2501.12948 · — via G3-deepseek-v3-r1 (w1)

[S939] arxiv.org/pdf/2412.19437 · — via G3-deepseek-v3-r1 (w1)

[S940] arxiv.org/html/2412.19437v2 · — via G3-deepseek-v3-r1 (w1)

[S941] arxiv.org/html/2501.12948v1 · — via G3-deepseek-v3-r1 (w1)

[S942] arxiv.org/html/2501.12948 · — via G3-deepseek-v3-r1 (w1)

[S943] arxiv.org/pdf/2501.12948v1 · — via G3-deepseek-v3-r1 (w1)

[S944] arxiv.org/pdf/2501.12948 · — via G3-deepseek-v3-r1 (w1)

[S945] github.com/ComposioHQ/composio · — via I2-github-topic-scan (w1)

[S946] github.com/esengine/DeepSeek-Reasonix · — via I2-github-topic-scan (w1)

[S947] github.com/ApodexAI/FrontierAgent · — via I2-github-topic-scan (w1)

[S948] github.com/sigoden/aichat · — via I2-github-topic-scan (w1)

[S949] github.com/corsairdev/corsair · — via I2-github-topic-scan (w1)

[S950] github.com/aipotheosis-labs/aci · — via I2-github-topic-scan (w1)

[S951] github.com/TanStack/ai · — via I2-github-topic-scan (w1)

[S952] github.com/Klavis-AI/klavis · — via I2-github-topic-scan (w1)

[S953] github.com/itayinbarr/little-coder · — via I2-github-topic-scan (w1)

[S954] github.com/HKUDS/AnyTool · — via I2-github-topic-scan (w1)

[S955] github.com/rlresearch/dr-tulu · — via I2-github-topic-scan (w1)

[S956] github.com/mims-harvard/ToolUniverse · — via I2-github-topic-scan (w1)

[S957] github.com/mims-harvard/TxAgent · — via I2-github-topic-scan (w1)

[S958] github.com/ktwu01/benchmark-radar · — via I2-github-topic-scan (w1)

[S959] github.com/bigcode-project/bigcodebench · — via I2-github-topic-scan (w1)

[S960] github.com/eval-sys/mcpmark · — via I2-github-topic-scan (w1)

[S961] api.github.com/search/repositories?q=topic:terminal-agent+stars:%3E200+pushed:%3E2025-06-01 · — via I2-github-topic-scan (w1)

[S962] api.github.com/search/repositories?q=topic:agent-benchmark+stars:%3E200+pushed:%3E2025-06-01 · — via I2-github-topic-scan (w1)

[S963] api.github.com/search/repositories?q=topic:function-calling+stars:%3E200+pushed:%3E2025-06-01 · — via I2-github-topic-scan (w1)

[S964] api.github.com/search/repositories?q=topic:tool-use+stars:%3E200+pushed:%3E2025-06-01 · — via I2-github-topic-scan (w1)

[S965] api.github.com/search/repositories?q=topic:terminal-agent+topic:ai-agents · — via I2-github-topic-scan (w1)

[S966] api.github.com/search/repositories?q=topic:tool-use+topic:benchmark · — via I2-github-topic-scan (w1)

[S967] api.github.com/search/repositories?q=repo:ApodexAI/FrontierAgent · — via I2-github-topic-scan (w1)

[S968] api.github.com/search/repositories?q=repo:esengine/DeepSeek-Reasonix · — via I2-github-topic-scan (w1)

[S969] huggingface.co/api/datasets/lovesnowbest/AgentFlanV2 · — via W2-agentflan-v2-agenttuning (w2)

[S970] huggingface.co/api/datasets/internlm/Agent-FLAN · — via W2-agentflan-v2-agenttuning (w2)

[S971] huggingface.co/api/datasets/di-zhang-fdu/Agent-FLAN-cleaned · — via W2-agentflan-v2-agenttuning (w2)

[S972] github.com/InternLM/Agent-FLAN · — via W2-agentflan-v2-agenttuning (w2)

[S973] huggingface.co/api/models/internlm/Agent-FLAN-7b · — via W2-agentflan-v2-agenttuning (w2)

[S974] huggingface.co/api/datasets/lovesnowbest/agentflan · — via W2-agentflan-v2-agenttuning (w2)

[S975] raw.githubusercontent.com/kakao/FunctionChat-Bench/main/README.md · — via W2-kakao-functionchat-bench (w2)

[S976] arxiv.org/abs/2411.14054 · — via W2-kakao-functionchat-bench (w2)

[S977] github.com/kakao/FunctionChat-Bench/blob/main/LICENSE · — via W2-kakao-functionchat-bench (w2)

[S978] arxiv.org/html/2411.14054v1 · — via W2-kakao-functionchat-bench (w2)

[S979] raw.githubusercontent.com/kakao/FunctionChat-Bench/main/LICENSE · — via W2-kakao-functionchat-bench (w2)

[S980] huggingface.co/api/datasets?author=kakao · — via W2-kakao-functionchat-bench (w2)

[S981] huggingface.co/api/datasets/Mineru/glaive-function-calling-v2-ko-cleaned · — via W2-korean-fc-datasets-verify (w2)

[S982] huggingface.co/api/datasets/KKACHI-HUB/glaive-function-calling-ko · — via W2-korean-fc-datasets-verify (w2)

[S983] huggingface.co/api/datasets/sagwa/function_calling_train1_ko · — via W2-korean-fc-datasets-verify (w2)

[S984] huggingface.co/datasets/palette-lab/songgot-tools-ko · — via W2-korean-fc-datasets-verify (w2)

[S985] huggingface.co/api/datasets?search=FunctionChat · — via W2-korean-fc-datasets-verify (w2)

[S986] huggingface.co/api/datasets/palette-lab/songgot-tools-ko · — via W2-korean-fc-datasets-verify (w2)

[S987] huggingface.co/api/datasets/heegyu/glaive-function-calling-v2-ko · — via W2-korean-fc-datasets-verify (w2)

[S988] huggingface.co/api/datasets?author=dneirfi · — via W2-korean-fc-datasets-verify (w2)

[S989] api.github.com/repos/kakao/FunctionChat-Bench · — via W2-korean-fc-datasets-verify (w2)

[S990] github.com/facebookresearch/MLGym/blob/main/LICENSE · — via W2-mlgym-license-reward (w2)

[S991] github.com/facebookresearch/MLGym#license · — via W2-mlgym-license-reward (w2)

[S992] github.com/KellerJordan/modded-nanogpt · — via W2-mlgym-license-reward (w2)

[S993] github.com/RobertTLange/gymnax-blines · — via W2-mlgym-license-reward (w2)

[S994] github.com/RobertTLange/gymnax · — via W2-mlgym-license-reward (w2)

[S995] github.com/facebookresearch/MLGym/blob/main/mlgym/environment/tasks.py · — via W2-mlgym-license-reward (w2)

[S996] github.com/facebookresearch/MLGym/blob/main/scripts/evaluation/get_ranks.py · — via W2-mlgym-license-reward (w2)

[S997] github.com/facebookresearch/MLGym/blob/main/mlgym/environment/env.py · — via W2-mlgym-license-reward (w2)

[S998] arxiv.org/html/2502.14499 · — via W2-mlgym-license-reward (w2)

[S999] swebench.com/multimodal.html · — via W2-swebench-mm-count (w2)

[S1000] huggingface.co/datasets/princeton-nlp/SWE-bench_Multimodal · — via W2-swebench-mm-count (w2)

[S1001] huggingface.co/datasets/SWE-bench/SWE-bench_Multimodal/raw/main/README.md · — via W2-swebench-mm-count (w2)

[S1002] datasets-server.huggingface.co/size?dataset=SWE-bench%2FSWE-bench_Multimodal · — via W2-swebench-mm-count (w2)

[S1003] huggingface.co/api/datasets/SWE-bench/SWE-bench_Multimodal/commits/main · — via W2-swebench-mm-count (w2)

[S1004] raw.githubusercontent.com/SWE-bench/SWE-bench/main/CHANGELOG.md · — via W2-swebench-mm-count (w2)

[S1005] huggingface.co/datasets/OpenHands/CodeScout_Training_Rollouts · — via W2-openhands-codescout-rollouts (w2)

[S1006] huggingface.co/OpenHands/CodeScout-14B · — via W2-openhands-codescout-rollouts (w2)

[S1007] huggingface.co/datasets/OpenHands/CodeScout_Eval_Rollouts · — via W2-openhands-codescout-rollouts (w2)

[S1008] datasets-server.huggingface.co/splits?dataset=OpenHands/CodeScout_Eval_Rollouts · — via W2-openhands-codescout-rollouts (w2)

[S1009] huggingface.co/datasets/R2E-Gym/R2EGym-SFT-Trajectories · — via W2-openhands-codescout-rollouts (w2)

[S1010] github.com/R2E-Gym/R2E-Gym · — via W2-openhands-codescout-rollouts (w2)

[S1011] datasets-server.huggingface.co/size?dataset=OpenHands/CodeScout_Eval_Rollouts&config= · — via W2-openhands-codescout-rollouts (w2)

[S1013] huggingface.co/datasets/microsoft/orca-agentinstruct-1M-v1 · — via W2-orca-agentinstruct-tool-split (w2)

[S1014] huggingface.co/api/datasets?search=agentinstruct · — via W2-orca-agentinstruct-tool-split (w2)

[S1015] huggingface.co/Team-ACE · — via W2-toolace-paper-scale (w2)

[S1016] datasets-server.huggingface.co/info?dataset=Team-ACE/ToolACE · — via W2-toolace-paper-scale (w2)

[S1017] github.com/harbor-framework/harbor · — via W2-harbor-rollout-schema (w2)

[S1018] github.com/harbor-framework/harbor/blob/main/src/harbor/models/trial/paths.py · — via W2-harbor-rollout-schema (w2)

[S1019] github.com/harbor-framework/harbor/blob/main/src/harbor/db/client.py · — via W2-harbor-rollout-schema (w2)

[S1020] github.com/harbor-framework/harbor/blob/main/src/harbor/trial/trial.py · — via W2-harbor-rollout-schema (w2)

[S1021] github.com/harbor-framework/harbor/blob/main/src/harbor/models/trial/result.py · — via W2-harbor-rollout-schema (w2)

[S1022] github.com/harbor-framework/harbor/blob/main/src/harbor/models/agent/rollout_detail.py · — via W2-harbor-rollout-schema (w2)

[S1023] github.com/harbor-framework/harbor/blob/main/rfcs/0001-trajectory-format.md · — via W2-harbor-rollout-schema (w2)

[S1024] github.com/harbor-framework/harbor/blob/main/src/harbor/models/trajectories/step.py · — via W2-harbor-rollout-schema (w2)

[S1025] github.com/harbor-framework/harbor/blob/main/src/harbor/models/trajectories/metrics.py · — via W2-harbor-rollout-schema (w2)

[S1026] github.com/harbor-framework/harbor/blob/main/docs/content/docs/agents/terminus-2.mdx · — via W2-harbor-rollout-schema (w2)

[S1027] github.com/harbor-framework/harbor/blob/main/docs/content/docs/run-jobs/results-and-artifacts.mdx · — via W2-harbor-rollout-schema (w2)

[S1028] github.com/harbor-framework/harbor/blob/main/src/harbor/cli/traces.py · — via W2-harbor-rollout-schema (w2)

[S1029] github.com/harbor-framework/harbor/blob/main/src/harbor/utils/traces_utils.py · — via W2-harbor-rollout-schema (w2)

[S1030] github.com/harbor-framework/harbor/blob/main/docs/content/docs/training-workflows/sft.mdx · — via W2-harbor-rollout-schema (w2)

[S1031] github.com/harbor-framework/harbor/blob/main/docs/content/docs/training-workflows/rl.mdx · — via W2-harbor-rollout-schema (w2)

[S1032] github.com/harbor-framework/harbor.git@feature/harbor-rl-4d0` · — via W2-harbor-rollout-schema (w2)

[S1033] github.com/harbor-framework/harbor/pull/1291 · — via W2-harbor-rollout-schema (w2)

[S1034] github.com/harbor-framework/harbor/blob/main/docs/content/docs/run-jobs/cloud-sandboxes.mdx · — via W2-harbor-rollout-schema (w2)

[S1035] github.com/harbor-framework/harbor/blob/main/src/harbor/db/types.py · — via W2-harbor-rollout-schema (w2)

[S1036] github.com/harbor-framework/harbor/blob/main/src/harbor/models/agent/context.py · — via W2-harbor-rollout-schema (w2)

[S1037] github.com/harbor-framework/harbor/blob/main/src/harbor/models/verifier/result.py · — via W2-harbor-rollout-schema (w2)

[S1038] github.com/harbor-framework/harbor/blob/main/src/harbor/models/trajectories/trajectory.py · — via W2-harbor-rollout-schema (w2)

[S1039] github.com/harbor-framework/harbor/blob/main/src/harbor/agents/terminus_2/terminus_2.py · — via W2-harbor-rollout-schema (w2)

[S1040] harborframework.com/docs/training-workflows/sft · — via W2-harbor-rollout-schema (w2)

[S1041] github.com/harbor-framework/harbor/blob/main/docs/content/docs/agents/trajectory-format.mdx · — via W2-harbor-rollout-schema (w2)

[S1042] github.com/harbor-framework/harbor/blob/main/docs/content/docs/datasets/adapters.mdx · — via W2-harbor-rollout-schema (w2)

[S1043] github.com/harbor-framework/harbor/blob/main/docs/content/docs/tutorials/llm-as-a-judge.mdx · — via W2-harbor-rollout-schema (w2)

[S1044] github.com/harbor-framework/harbor-cookbook/blob/main/harbor_cookbook/harbor_rl/train.py · — via W2-harbor-rollout-schema (w2)

[S1045] github.com/harbor-framework/harbor-cookbook/blob/main/harbor_cookbook/sky_rl/README.md · — via W2-harbor-rollout-schema (w2)

[S1046] github.com/harbor-framework/harbor-cookbook/blob/main/harbor_cookbook/tinker_rl/README.md · — via W2-harbor-rollout-schema (w2)

[S1047] github.com/harbor-framework/harbor-cookbook/blob/main/harbor_cookbook/prime_rl/README.md · — via W2-harbor-rollout-schema (w2)

[S1048] github.com/harbor-framework/harbor-cookbook/blob/main/harbor_cookbook/gepa/README.md · — via W2-harbor-rollout-schema (w2)

[S1049] github.com/NovaSky-AI/SkyRL/tree/main/examples/train_integrations/harbor · — via W2-harbor-rollout-schema (w2)

[S1050] github.com/thinking-machines-lab/tinker-cookbook/tree/main/tinker_cookbook/recipes/harbor_rl · — via W2-harbor-rollout-schema (w2)

[S1051] github.com/PrimeIntellect-ai/verifiers · — via W2-harbor-rollout-schema (w2)

[S1052] docs.skyrl.ai/docs/harbor · — via W2-harbor-rollout-schema (w2)

[S1053] arxiv.org/abs/2509.24002 · — via W2-mcpmark-mcpbench-extra (w2)

[S1054] arxiv.org/abs/2504.11094 · — via W2-mcpmark-mcpbench-extra (w2)

[S1055] raw.githubusercontent.com/modelscope/MCPBench/main/ · — via W2-mcpmark-mcpbench-extra (w2)

[S1056] arxiv.org/abs/2504.02605 · — via W2-multi-swe-rl (w2)

[S1057] huggingface.co/datasets/ByteDance-Seed/Multi-SWE-RL · — via W2-multi-swe-rl (w2)

[S1058] huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench_trajs · — via W2-multi-swe-rl (w2)

[S1059] huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench_mini · — via W2-multi-swe-rl (w2)

[S1060] huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench-flash · — via W2-multi-swe-rl (w2)

[S1061] docs.prolific.com/api-reference/introduction · — via W2-prolific-ai-products (w2)

[S1062] www.prolific.com/for-agents · — via W2-prolific-ai-products (w2)

[S1063] www.prolific.com/ai-services · — via W2-prolific-ai-products (w2)

[S1064] www.prolific.com/ai · — via W2-prolific-ai-products (w2)

[S1065] toloka.ai/request-demo/ · — via W2-prolific-ai-products (w2)

[S1066] ai-help.prolific.com/en/ · — via W2-prolific-ai-products (w2)

[S1067] docs.prolific.com/sitemap.xml · — via W2-prolific-ai-products (w2)

[S1068] arxiv.org/html/2504.07164v1 · — via W2-r2e-gym-count-gap (w2)

[S1069] huggingface.co/datasets/R2E-Gym/R2E-Gym-V1 · — via W2-r2e-gym-count-gap (w2)

[S1070] huggingface.co/datasets/R2E-Gym/R2E-Gym-Subset · — via W2-r2e-gym-count-gap (w2)

[S1071] huggingface.co/datasets/R2E-Gym/R2E-Gym-Lite · — via W2-r2e-gym-count-gap (w2)

[S1072] huggingface.co/r2e-gym · — via W2-r2e-gym-count-gap (w2)

[S1073] huggingface.co/stabletoolbench/MirrorAPI · — via W2-stabletoolbench-mirrorapi (w2)

[S1074] huggingface.co/stabletoolbench/MirrorAPI-Cache · — via W2-stabletoolbench-mirrorapi (w2)

[S1075] huggingface.co/datasets/stabletoolbench/ToolEnv2404 · — via W2-stabletoolbench-mirrorapi (w2)

[S1076] huggingface.co/datasets/stabletoolbench/Cache · — via W2-stabletoolbench-mirrorapi (w2)

[S1077] huggingface.co/datasets/stabletoolbench/MirrorAPI-Training · — via W2-stabletoolbench-mirrorapi (w2)

[S1078] huggingface.co/datasets/stabletoolbench/MirrorAPI-Bench · — via W2-stabletoolbench-mirrorapi (w2)

[S1079] github.com/zhichengg/stabletoolbench · — via W2-stabletoolbench-mirrorapi (w2)

[S1080] github.com/sierra-research/tau2-bench/blob/main/docs/getting-started.md · — via W2-tau-bench-gym-splits (w2)

[S1081] github.com/sierra-research/tau2-bench/blob/main/pyproject.toml · — via W2-tau-bench-gym-splits (w2)

[S1082] github.com/sierra-research/tau2-bench/blob/main/src/tau2/gym/README.md · — via W2-tau-bench-gym-splits (w2)

[S1083] github.com/sierra-research/tau2-bench#readme · — via W2-tau-bench-gym-splits (w2)

[S1084] github.com/sierra-research/tau2-bench/tree/main/data/tau2/domains · — via W2-tau-bench-gym-splits (w2)

[S1085] github.com/sierra-research/tau-bench/blob/main/LICENSE · — via W2-tau-bench-gym-splits (w2)

[S1086] github.com/sierra-research/tau2-bench/blob/main/LICENSE · — via W2-tau-bench-gym-splits (w2)

[S1087] github.com/sierra-research/tau2-bench/blob/main/CHANGELOG.md · — via W2-tau-bench-gym-splits (w2)

[S1088] github.com/sierra-research/tau2-bench/blob/main/docs/cli-reference.md · — via W2-tau-bench-gym-splits (w2)

[S1089] github.com/sierra-research/tau2-bench/blob/main/docs/leaderboard-submission.md · — via W2-tau-bench-gym-splits (w2)

[S1090] github.com/sierra-research/tau2-bench/tree/main/src/tau2/gym · — via W2-tau-bench-gym-splits (w2)

[S1091] web.archive.org/web/20250609012106/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1092] web.archive.org/web/20250822182056/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1093] web.archive.org/web/20250926165651/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1094] web.archive.org/web/20251016105938/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1095] web.archive.org/web/20251103212338/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1096] web.archive.org/web/20251111233629/https://www.tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1097] web.archive.org/cdx/search/cdx?url=tbench.ai/leaderboard · — via W2-tb1-leaderboard-wayback (w2)

[S1098] www.anthropic.com/news/claude-sonnet-4-5 · — via W2-tb1-leaderboard-wayback (w2)

[S1099] github.com/hamishivi/tmax/tree/main/rl_data/scripts/repair · — via W2-tmax-hardening (w2)

[S1100] github.com/hamishivi/tmax/commits/main/rl_data/scripts/repair · — via W2-tmax-hardening (w2)

[S1101] github.com/hamishivi/tmax/blob/main/rl_data/generate_solutions.py · — via W2-tmax-hardening (w2)

[S1102] github.com/hamishivi/tmax/blob/main/rl_data/README.md · — via W2-tmax-hardening (w2)

[S1103] github.com/hamishivi/tmax/blob/main/rl_data/generate_tasks.py · — via W2-tmax-hardening (w2)

[S1104] github.com/allenai/open-instruct · — via W2-tmax-hardening (w2)

[S1105] github.com/hamishivi/tmax/tree/main/rl_data/decontamination · — via W2-tmax-hardening (w2)

[S1106] wai-org.com/blog/tmax/ · — via W2-tmax-hardening (w2)

[S1107] huggingface.co/datasets/allenai/TMax-15K · — via W2-tmax-hardening (w2)

[S1108] github.com/SWE-Gym/SWE-Gym/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1109] github.com/R2E-Gym/R2E-Gym/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1110] github.com/harbor-framework/terminal-bench · — via W2-env-license-table (w2)

[S1111] github.com/gorilla-llm/gorilla · — via W2-env-license-table (w2)

[S1112] github.com/gorilla-llm/gorilla/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1113] github.com/StonyBrookNLP/appworld · — via W2-env-license-table (w2)

[S1114] github.com/StonyBrookNLP/appworld/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1115] github.com/web-arena-x/webarena/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1116] github.com/xlang-ai/OSWorld/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1117] github.com/facebookresearch/MLGym · — via W2-env-license-table (w2)

[S1118] github.com/THUDM/AgentBench/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1119] github.com/TheAgentCompany/TheAgentCompany/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1120] github.com/princeton-nlp/intercode/blob/master/LICENSE.md · — via W2-env-license-table (w2)

[S1121] github.com/harbor-framework/terminal-bench/blob/main/LICENSE · — via W2-env-license-table (w2)

[S1122] github.com/gorilla-llm/gorilla/tree/main/berkeley-function-call-leaderboard · — via W2-env-license-table (w2)

[S1123] spdx.org/licenses/Apache-2.0.txt · — via W2-env-license-table (w2)

[S1124] spdx.org/licenses/MIT.txt · — via W2-env-license-table (w2)

[S1125] spdx.org/licenses/CC-BY-NC-4.0.txt · — via W2-env-license-table (w2)

[S1126] opensource.org/osd · — via W2-env-license-table (w2)

[S1127] pypi.org/pypi/appworld/json · — via W2-env-license-table (w2)

[S1128] www.terminal-bench.com · — via W2-env-license-table (w2)

[S1129] huggingface.co/api/datasets?search=tool+calling&sort=createdAt&direction=-1&limit=100 · — via W2-hf-toolcalling-2026-releases (w2)

[S1130] huggingface.co/datasets/aisa-group/PostTrainBench-Trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1131] huggingface.co/datasets/xlangai/osworld2.0-trajectory · — via W2-hf-toolcalling-2026-releases (w2)

[S1132] huggingface.co/datasets/kth8/python-toolcalls · — via W2-hf-toolcalling-2026-releases (w2)

[S1133] huggingface.co/datasets/MaxDevv/real-pi-coding-agent-traces-sessions · — via W2-hf-toolcalling-2026-releases (w2)

[S1134] huggingface.co/datasets/annahbanannah/synthetic-math-toolcall-deception · — via W2-hf-toolcalling-2026-releases (w2)

[S1135] huggingface.co/datasets/rmems/secret-scan-remediation-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1136] huggingface.co/datasets/viktor-shcherb/jobseek-agent-traces · — via W2-hf-toolcalling-2026-releases (w2)

[S1137] huggingface.co/datasets/AI-Secure/DTap-Bench-Agent-Trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1138] huggingface.co/datasets/Exgentic/agent-llm-traces-v2 · — via W2-hf-toolcalling-2026-releases (w2)

[S1139] huggingface.co/datasets/sunnydubey1111/agent-trajectory-sentinel · — via W2-hf-toolcalling-2026-releases (w2)

[S1140] huggingface.co/datasets/trace-commons/agent-traces · — via W2-hf-toolcalling-2026-releases (w2)

[S1141] huggingface.co/datasets/microsoft/Orchard · — via W2-hf-toolcalling-2026-releases (w2)

[S1142] huggingface.co/datasets/rmems/sparse-reward-long-tasks · — via W2-hf-toolcalling-2026-releases (w2)

[S1143] huggingface.co/datasets/jash-ai/agentic-redteam-benchmark · — via W2-hf-toolcalling-2026-releases (w2)

[S1144] huggingface.co/datasets/anonymousmypcbench/cua-speedrun-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1145] huggingface.co/datasets/YuvrajSingh9886/androidlife-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1146] huggingface.co/datasets/rmems/multi-agent-coordination-transcripts · — via W2-hf-toolcalling-2026-releases (w2)

[S1147] huggingface.co/datasets/ServiceNow/AgentHorizon · — via W2-hf-toolcalling-2026-releases (w2)

[S1148] huggingface.co/datasets/obaydata/mcp-agent-trajectory-benchmark · — via W2-hf-toolcalling-2026-releases (w2)

[S1149] huggingface.co/datasets/agentic-ptb/opus-high-v3-data · — via W2-hf-toolcalling-2026-releases (w2)

[S1150] huggingface.co/datasets/Exgentic/agent-llm-traces · — via W2-hf-toolcalling-2026-releases (w2)

[S1151] huggingface.co/datasets/sxy67230/hermes-agent-reasoning-traces · — via W2-hf-toolcalling-2026-releases (w2)

[S1152] huggingface.co/datasets/xintelligence/research-agent-rl-episodes · — via W2-hf-toolcalling-2026-releases (w2)

[S1153] huggingface.co/datasets/ChrisDing1105/unified-agent-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1154] huggingface.co/datasets/hlido-eu/agent-benchmark · — via W2-hf-toolcalling-2026-releases (w2)

[S1155] huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-ka59-agent-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1156] huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-wa30-agent-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1157] huggingface.co/datasets/interstellarninja/hermes-function-calling-v1 · — via W2-hf-toolcalling-2026-releases (w2)

[S1158] huggingface.co/datasets/ru-dataset/agent-think-tool_use · — via W2-hf-toolcalling-2026-releases (w2)

[S1159] huggingface.co/datasets/Agent-as-Policy/agent-as-policy · — via W2-hf-toolcalling-2026-releases (w2)

[S1160] huggingface.co/datasets/rmems/incident-response-oncall-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1161] huggingface.co/datasets/rmems/agentic-coding-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1162] huggingface.co/datasets/rmems/proto-breaking-change-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1163] huggingface.co/datasets/rmems/browser-tool-use-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1164] huggingface.co/datasets/agentic-moral-alignment/mtma · — via W2-hf-toolcalling-2026-releases (w2)

[S1165] huggingface.co/datasets/rmems/multi-agent-ouroboros-swarm · — via W2-hf-toolcalling-2026-releases (w2)

[S1166] huggingface.co/datasets/rmems/docker-build-cache-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1167] huggingface.co/datasets/Wejh/ninja-agent-traces · — via W2-hf-toolcalling-2026-releases (w2)

[S1168] huggingface.co/datasets/INONONO/fable-5.1-mario-trajectory · — via W2-hf-toolcalling-2026-releases (w2)

[S1169] huggingface.co/datasets/rmems/neuromorphic-event-language-bridge · — via W2-hf-toolcalling-2026-releases (w2)

[S1170] huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-lf52-agent-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1171] huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-su15-agent-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1172] huggingface.co/datasets/rmems/thalamic-relay-trajectories · — via W2-hf-toolcalling-2026-releases (w2)

[S1173] huggingface.co/api/datasets?search=trajectory&sort=createdAt&direction=-1&limit=100 · — via W2-hf-toolcalling-2026-releases (w2)

[S1174] huggingface.co/api/datasets?search=agent+traces&sort=createdAt&direction=-1&limit=100 · — via W2-hf-toolcalling-2026-releases (w2)

[S1175] huggingface.co/api/datasets/aisa-group/PostTrainBench-Trajectories?full=true · — via W2-hf-toolcalling-2026-releases (w2)

[S1176] datasets-server.huggingface.co/info?dataset=interstellarninja/hermes-function-calling-v1 · — via W2-hf-toolcalling-2026-releases (w2)

[S1177] huggingface.co/api/datasets?author=rmems&sort=createdAt&direction=-1&limit=100 · — via W2-hf-toolcalling-2026-releases (w2)

[S1178] github.com/aisa-group/PostTrainBench · — via W2-hf-toolcalling-2026-releases (w2)

[S1179] arxiv.org/abs/2603.08640 · — via W2-hf-toolcalling-2026-releases (w2)

[S1180] x.com/i/status/2081068783830200670 · — via W2-hf-toolcalling-2026-releases (w2)

[S1181] x.com/i/status/2091929283602395331 · — via W2-hf-toolcalling-2026-releases (w2)

[S1182] x.com/i/status/2087258724654284971 · — via W2-hf-toolcalling-2026-releases (w2)

[S1183] github.com/NVIDIA-NeMo/Gym · — via W2-hf-toolcalling-2026-releases (w2)

[S1184] github.com/rmems/synthetic-factory · — via W2-hf-toolcalling-2026-releases (w2)

[S1185] github.com/trace-commons-ai/donate-trace · — via W2-hf-toolcalling-2026-releases (w2)

[S1186] github.com/badlogic/pi-mono · — via W2-hf-toolcalling-2026-releases (w2)

[S1187] arcprize.org/arc-agi/3/ · — via W2-hf-toolcalling-2026-releases (w2)

[S1188] github.com/AI-secure/DecodingTrust-Agent · — via W2-hf-toolcalling-2026-releases (w2)

[S1189] github.com/colophon-group/jobseek · — via W2-hf-toolcalling-2026-releases (w2)

[S1190] huggingface.co/api/datasets/interstellarninja/hermes-function-calling-v1?full=true · — via W2-hf-toolcalling-2026-releases (w2)

[S1191] huggingface.co/api/datasets/nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1?full=true · — via W2-hf-toolcalling-2026-releases (w2)

[S1192] huggingface.co/api/datasets?author=Magpie-Align&limit=1000 · — via W2-magpie-thudm-deleted (w2)

[S1193] huggingface.co/api/datasets?search=Magpie-Agent&limit=50 · — via W2-magpie-thudm-deleted (w2)

[S1194] raw.githubusercontent.com/Magpie-Align/Magpie/main/README.md · — via W2-magpie-thudm-deleted (w2)

[S1195] huggingface.co/api/models/THUDM/chatglm3-6b · — via W2-magpie-thudm-deleted (w2)

[S1196] huggingface.co/api/datasets/zai-org/AgentInstruct · — via W2-magpie-thudm-deleted (w2)

[S1197] huggingface.co/api/datasets/dim/thudn_agent_instruct · — via W2-magpie-thudm-deleted (w2)

[S1198] huggingface.co/api/datasets/fairyshine/Seal-Tools · — via W2-magpie-thudm-deleted (w2)

[S1199] huggingface.co/api/datasets/casey-martin/Seal-Tools · — via W2-magpie-thudm-deleted (w2)

[S1200] huggingface.co/api/datasets?search=Seal-Tools&limit=20 · — via W2-magpie-thudm-deleted (w2)

[S1201] huggingface.co/api/datasets/Tellina/nl2bash · — via W2-magpie-thudm-deleted (w2)

[S1202] github.com/TellinaTool/nl2bash` · — via W2-magpie-thudm-deleted (w2)

[S1203] huggingface.co/datasets/jiacheng-ye/nl2bash/raw/main/nl2bash.py · — via W2-magpie-thudm-deleted (w2)

[S1204] web.archive.org/cdx/search/cdx?url=huggingface.co/datasets/THUDM/agent-instruct&limit=5 · — via W2-magpie-thudm-deleted (w2)

[S1205] huggingface.co/api/datasets/Magpie-Align/Magpie-Agent-Instruct-300K-v0.1 · — via W2-magpie-thudm-deleted (w2)

[S1206] huggingface.co/datasets/casey-martin/Seal-Tools/raw/main/README.md · — via W2-magpie-thudm-deleted (w2)

[S1207] huggingface.co/datasets/nvidia/ToolScale · — via W2-nemotron-agentic-releases (w2)

[S1208] huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1 · — via W2-nemotron-agentic-releases (w2)

[S1209] huggingface.co/datasets/nvidia/Nemotron-RL-agent-workplace_assistant · — via W2-nemotron-agentic-releases (w2)

[S1210] huggingface.co/datasets/nvidia/Nemotron-RL-agent-calendar_scheduling · — via W2-nemotron-agentic-releases (w2)

[S1211] huggingface.co/datasets/nvidia/Nemotron-Terminal-Synthetic-Tasks · — via W2-nemotron-agentic-releases (w2)

[S1212] huggingface.co/datasets/nvidia/NeMo-Gym-Conversational-Tool-Use-Assets · — via W2-nemotron-agentic-releases (w2)

[S1213] huggingface.co/datasets/nvidia/NeMo-Gym-EnterpriseOps-Assets · — via W2-nemotron-agentic-releases (w2)

[S1214] huggingface.co/api/datasets?author=nvidia&search=nemotron · — via W2-nemotron-agentic-releases (w2)

[S1215] huggingface.co/api/datasets?author=nvidia&search=tool · — via W2-nemotron-agentic-releases (w2)

[S1216] huggingface.co/api/collections/nvidia/nemo-gym · — via W2-nemotron-agentic-releases (w2)

[S1217] datasets-server.huggingface.co/size?dataset=nvidia/ · — via W2-nemotron-agentic-releases (w2)

[S1218] huggingface.co/api/datasets?author=nvidia&search=Llama-Nemotron · — via W2-nemotron-agentic-releases (w2)

[S1219] arxiv.org/html/2601.11868v1 · — via W2-tb2-iclr-paper (w2)

[S1220] allenai.org/blog/olmo3 · — via W2-tulu3-agentic-followups (w2)

[S1221] huggingface.co/api/collections/allenai/olmo-3-post-training-691cfa4bdd5ceaf428514135 · — via W2-tulu3-agentic-followups (w2)

[S1222] huggingface.co/api/models/allenai/Llama-3.1-Tulu-3.1-8B · — via W2-tulu3-agentic-followups (w2)

[S1223] huggingface.co/allenai/Llama-3.1-Tulu-3.1-8B/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1224] huggingface.co/api/collections/allenai/tulu-3-models-673b8e0dc3512e30e7dc54f5 · — via W2-tulu3-agentic-followups (w2)

[S1225] huggingface.co/api/datasets/allenai/Dolci-Instruct-SFT-Tool-Use · — via W2-tulu3-agentic-followups (w2)

[S1226] huggingface.co/datasets/allenai/Dolci-Instruct-SFT-Tool-Use/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1227] huggingface.co/datasets/allenai/Dolci-Instruct-SFT-Tool-Use-SA/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1228] huggingface.co/api/datasets/allenai/Dolci-Instruct-SFT-Tool-Use-SA · — via W2-tulu3-agentic-followups (w2)

[S1229] datasets-server.huggingface.co/size?dataset=allenai/Dolci-Instruct-SFT · — via W2-tulu3-agentic-followups (w2)

[S1230] huggingface.co/datasets/allenai/Dolci-Instruct-SFT/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1231] datasets-server.huggingface.co/size?dataset=allenai/Dolci-Instruct-SFT-No-Tools · — via W2-tulu3-agentic-followups (w2)

[S1232] datasets-server.huggingface.co/size?dataset=allenai/Dolci-Instruct-SFT-Tool-Use · — via W2-tulu3-agentic-followups (w2)

[S1233] huggingface.co/allenai/Olmo-3-7B-Instruct-SFT/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1234] export.arxiv.org/api/query?id_list=2512.13961 · — via W2-tulu3-agentic-followups (w2)

[S1235] huggingface.co/datasets/allenai/tulu-v3.1-mix-preview-4096-OLMoE/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1236] huggingface.co/api/datasets/allenai/tulu-v3.1-mix-preview-4096-OLMoE · — via W2-tulu3-agentic-followups (w2)

[S1237] datasets-server.huggingface.co/size?dataset=allenai/tulu-3-sft-mixture · — via W2-tulu3-agentic-followups (w2)

[S1238] huggingface.co/api/datasets/allenai/tulu-3-sft-mixture · — via W2-tulu3-agentic-followups (w2)

[S1239] huggingface.co/api/datasets/allenai/ForgeChat · — via W2-tulu3-agentic-followups (w2)

[S1240] datasets-server.huggingface.co/size?dataset=allenai/ForgeChat · — via W2-tulu3-agentic-followups (w2)

[S1241] huggingface.co/api/models?author=allenai&limit=1000 · — via W2-tulu3-agentic-followups (w2)

[S1242] huggingface.co/api/models?search=forge&author=allenai · — via W2-tulu3-agentic-followups (w2)

[S1243] huggingface.co/api/collections?author=allenai&limit=100 · — via W2-tulu3-agentic-followups (w2)

[S1244] export.arxiv.org/api/query?search_query=all:%22ForgeChat%22&max_results=10 · — via W2-tulu3-agentic-followups (w2)

[S1245] api.github.com/search/repositories?q=forgechat · — via W2-tulu3-agentic-followups (w2)

[S1246] api.github.com/search/code?q=ForgeChat+org:allenai · — via W2-tulu3-agentic-followups (w2)

[S1247] huggingface.co/api/datasets?author=allenai&limit=1000 · — via W2-tulu3-agentic-followups (w2)

[S1248] huggingface.co/api/models/meta-llama/Llama-3.1-8B-Instruct · — via W2-tulu3-agentic-followups (w2)

[S1249] allenai.org/sitemap.xml · — via W2-tulu3-agentic-followups (w2)

[S1250] huggingface.co/api/datasets/allenai/Dolci-Instruct-SFT-No-Tools/raw/main/README.md · — via W2-tulu3-agentic-followups (w2)

[S1251] x.com/i/status/2096953507563843896 · — via W2-x-signal (w2)

[S1252] huggingface.co/datasets/openbmb/UltraData-SFT-Agent-2609 · — via W2-x-signal (w2)

[S1253] x.com/i/status/2098903187965268467 · — via W2-x-signal (w2)

[S1254] realswe.withspecific.com · — via W2-x-signal (w2)

[S1255] x.com/i/status/2100977057270313458 · — via W2-x-signal (w2)

[S1256] github.com/ProsusAI/vending-bench · — via W2-x-signal (w2)

[S1257] x.com/i/status/2100276834047017213 · — via W2-x-signal (w2)

[S1258] x.com/i/status/2100648822737142154 · — via W2-x-signal (w2)

[S1259] harnesstax.github.io · — via W2-x-signal (w2)

[S1260] x.com/i/status/2101210935343890628 · — via W2-x-signal (w2)

[S1261] arxiv.org/abs/2609.20804 · — via W2-x-signal (w2)

[S1262] x.com/i/status/2100321528995098758 · — via W2-x-signal (w2)

[S1263] docs.harborframework.com · — via W2-x-signal (w2)

[S1264] www.tbench.ai/news · — via W2-x-signal (w2)

[S1265] x.com/i/status/2096105850507297132 · — via W2-x-signal (w2)

[S1266] arxiv.org/abs/2609.03966 · — via W2-x-signal (w2)

[S1267] arxiv.org/abs/2602.09003 · — via W2-x-signal (w2)

[S1268] huggingface.co/openbmb/MiniCPM5-2B · — via W2-x-signal (w2)

[S1269] hub.harborframework.com/datasets/terminal-bench/terminal-bench/4 · — via W2-x-signal (w2)

[S1270] github.com/agent-as-policy-2026/agent-as-policy · — via W2-x-signal (w2)

[S1271] agent-as-policy-2026.github.io · — via W2-x-signal (w2)

[S1272] arxiv.org/abs/2609.12541 · — via W2-x-signal (w2)

[S1273] www.swebench.com · — via W2-x-signal (w2)

[S1274] ultradata.openbmb.cn · — via W2-x-signal (w2)

[S1275] arxiv.org/abs/2504.13958 · — via H2-reward-design-survey (w1)

[S1276] arxiv.org/abs/2607.24653 · — via H2-reward-design-survey (w1)

[S1277] arxiv.org/abs/2603.00729 · — via H2-reward-design-survey (w1)

[S1278] arxiv.org/abs/2508.06471 · — via H2-reward-design-survey (w1)

[S1279] arxiv.org/abs/2609.20082 · — via H2-reward-design-survey (w1)

[S1280] arxiv.org/abs/2503.09516 · — via H2-reward-design-survey (w1)

[S1281] arxiv.org/abs/2503.05592 · — via H2-reward-design-survey (w1)

[S1282] arxiv.org/abs/2504.03160 · — via H2-reward-design-survey (w1)

[S1283] arxiv.org/abs/2505.16421 · — via H2-reward-design-survey (w1)

[S1284] arxiv.org/abs/2411.02337 · — via H2-reward-design-survey (w1)

[S1285] arxiv.org/abs/2505.15277 · — via H2-reward-design-survey (w1)

[S1286] arxiv.org/abs/2504.14870 · — via H2-reward-design-survey (w1)

[S1287] arxiv.org/abs/2503.23383 · — via H2-reward-design-survey (w1)

[S1288] arxiv.org/abs/2504.11536 · — via H2-reward-design-survey (w1)

[S1289] arxiv.org/abs/2505.21668 · — via H2-reward-design-survey (w1)

[S1290] arxiv.org/abs/2505.10978 · — via H2-reward-design-survey (w1)

[S1291] arxiv.org/abs/2609.12424 · — via H2-reward-design-survey (w1)

[S1292] arxiv.org/abs/2505.01441 · — via H2-reward-design-survey (w1)

[S1293] arxiv.org/abs/2512.21919 · — via H2-reward-design-survey (w1)

[S1294] arxiv.org/abs/2509.08755 · — via H2-reward-design-survey (w1)

[S1295] arxiv.org/abs/2609.04128 · — via H2-reward-design-survey (w1)

[S1296] arxiv.org/abs/2605.03195 · — via H2-reward-design-survey (w1)

[S1297] arxiv.org/abs/2602.00575 · — via H2-reward-design-survey (w1)

[S1298] arxiv.org/abs/2603.02637 · — via H2-reward-design-survey (w1)

[S1299] arxiv.org/abs/2609.06780 · — via H2-reward-design-survey (w1)

[S1300] arxiv.org/abs/2504.08942 · — via H2-reward-design-survey (w1)

[S1301] arxiv.org/abs/2509.02547 · — via H2-reward-design-survey (w1)

[S1302] arxiv.org/abs/2509.08827 · — via H2-reward-design-survey (w1)

[S1303] arxiv.org/abs/2608.20485 · — via H2-reward-design-survey (w1)

[S1304] arxiv.org/abs/2512.18552 · — via H2-reward-design-survey (w1)

[S1305] arxiv.org/abs/2502.01718 · — via H2-reward-design-survey (w1)

[S1306] arxiv.org/abs/2501.12326 · — via H2-reward-design-survey (w1)

[S1307] arxiv.org/abs/2609.19101 · — via H2-reward-design-survey (w1)

[S1308] arxiv.org/abs/2505.04588 · — via H2-reward-design-survey (w1)

[S1309] arxiv.org/pdf/2609.11042` · — via H2-reward-design-survey (w1)

[S1310] arxiv.org/pdf/2607.24653` · — via H2-reward-design-survey (w1)

[S1311] osu-nlp-group.github.io/Mind2Web-2/ · — via W2-mind2web2-browsergym (w2)

[S1312] huggingface.co/datasets/osunlp/Mind2Web-2 · — via W2-mind2web2-browsergym (w2)

[S1313] github.com/OSU-NLP-Group/Mind2Web-2 · — via W2-mind2web2-browsergym (w2)

[S1314] huggingface.co/spaces/ServiceNow/browsergym-leaderboard/blob/main/app.py · — via W2-mind2web2-browsergym (w2)

[S1315] arxiv.org/search/?query=%22WorkArena-Hard%22&searchtype=all · — via W2-mind2web2-browsergym (w2)

[S1316] github.com/Servicenow/browsergym · — via W2-mind2web2-browsergym (w2)

[S1317] webarena.dev/ · — via W2-mind2web2-browsergym (w2)

[S1318] hub.harborframework.com · — via A2-harbor-tbench-harness (w1b)

[S1319] github.com/laude-institute/terminal-bench-2 · — via A2-harbor-tbench-harness (w1b)

[S1320] huggingface.co/api/datasets/openai/BrowseCompLongContext · — via A7-gaia-browsecomp-webarena (w1b)

[S1321] assistantbench.github.io/ · — via A7-gaia-browsecomp-webarena (w1b)

[S1322] huggingface.co/api/datasets/AssistantBench/AssistantBench · — via A7-gaia-browsecomp-webarena (w1b)

[S1323] github.com/ServiceNow/AgentLab · — via A7-gaia-browsecomp-webarena (w1b)

[S1324] huggingface.co/ToolBench/ToolLLaMA-2-7b-v2 · — via B2-toolbench-tooleval (w1b)

[S1325] arxiv.org/html/2403.07714v5 · — via B2-toolbench-tooleval (w1b)

[S1326] huggingface.co/api/models?author=ToolBench · — via B2-toolbench-tooleval (w1b)

[S1327] huggingface.co/api/models/stabletoolbench/MirrorAPI · — via B2-toolbench-tooleval (w1b)

[S1328] arxiv.org/html/2508.20453v1 · — via B5-mcp-bench (w1b)

[S1329] huggingface.co/api/datasets/MCPToolBench/MCPToolBenchPP · — via B5-mcp-bench (w1b)

[S1330] arxiv.org/html/2508.14704v1 · — via B5-mcp-bench (w1b)

[S1331] api.github.com/search/repositories?q=MCP-Bench · — via B5-mcp-bench (w1b)

[S1332] huggingface.co/api/datasets/ICIP/LiveMCPBench · — via B5-mcp-bench (w1b)

[S1333] arxiv.org/html/2409.00920 · — via F2-toolace-method (w1fix2)

[S1334] api2.openreview.net/notes/search?term=ToolACE&content=all&group=all&source=all · — via F2-toolace-method (w1fix2)

[S1335] huggingface.co/datasets/Team-ACE/ToolACE/raw/main/README.md · — via F2-toolace-method (w1fix2)

[S1336] datasets-server.huggingface.co/first-rows?dataset=Team-ACE/ToolACE&config=default&split=train · — via F2-toolace-method (w1fix2)

[S1337] huggingface.co/Team-ACE/ToolACE-8B/raw/main/README.md · — via F2-toolace-method (w1fix2)

[S1338] api.github.com/search/repositories?q=ToolACE · — via F2-toolace-method (w1fix2)

[S1339] huggingface.co/api/models?author=Team-ACE · — via F2-toolace-method (w1fix2)

[S1340] huggingface.co/api/datasets?search=ToolACE · — via F2-toolace-method (w1fix2)

[S1341] api.openalex.org/works?search=ToolACE%20Winning%20the%20Points · — via F2-toolace-method (w1fix2)

[S1342] arxiv.org/pdf/2504.21798 · — via F4-swe-smith-method (w1fix2)

[S1343] swesmith.com · — via F4-swe-smith-method (w1fix2)

[S1344] api2.openreview.net/notes/search?query=SWE-smith · — via F4-swe-smith-method (w1fix2)

[S1345] huggingface.co/datasets/SWE-bench/SWE-smith-py · — via F4-swe-smith-method (w1fix2)

[S1346] x.com/huybery/status/1920244295128203346 · — via F4-swe-smith-method (w1fix2)

[S1347] huggingface.co/api/datasets?search=swesmith · — via F4-swe-smith-method (w1fix2)

[S1348] toloka.ai/pricing` · — via W2-toloka-pricing-render (w2)

[S1349] toloka.ai/pricing · — via W2-toloka-pricing-render (w2)

[S1350] web.archive.org/web/20240321115140/https://toloka.ai/pricing/ · — via W2-toloka-pricing-render (w2)

[S1351] web.archive.org/web/20241201140734/https://toloka.ai/pricing/ · — via W2-toloka-pricing-render (w2)

[S1352] web.archive.org/web/20250109013643/https://toloka.ai/ · — via W2-toloka-pricing-render (w2)

[S1353] web.archive.org/web/20260519011723/https://toloka.ai/arena-pricing · — via W2-toloka-pricing-render (w2)

[S1354] platform.toloka.ai/auth?redirectPath=%2Fpricing · — via W2-toloka-pricing-render (w2)

[S1355] web.archive.org/web/20250108221017/https://toloka.ai/pricing/ · — via W2-toloka-pricing-render (w2)

[S1356] web.archive.org/cdx/search/cdx?url=toloka.ai&matchType=domain&from=2025&to=2026&filter=original:.*pricing.* · — via W2-toloka-pricing-render (w2)

[S1357] huggingface.co/agentica-org/DeepSWE-Preview · — via W3-deepswe-terminal-rl-training (w3)

[S1358] github.com/agentica-project/rllm · — via W3-deepswe-terminal-rl-training (w3)

[S1359] github.com/rllm-org/rllm · — via W3-deepswe-terminal-rl-training (w3)

[S1360] arxiv.org/abs/2602.23866 · — via W3-deepswe-terminal-rl-training (w3)

[S1361] huggingface.co/datasets/nebius/SWE-rebench-V2 · — via W3-deepswe-terminal-rl-training (w3)

[S1362] arxiv.org/abs/2607.10891 · — via W3-deepswe-terminal-rl-training (w3)

[S1363] www.harborframework.com/ · — via W3-deepswe-terminal-rl-training (w3)

[S1364] huggingface.co/collections/allenai/tmax · — via W3-deepswe-terminal-rl-training (w3)

[S1365] arxiv.org/abs/2608.22631 · — via W3-deepswe-terminal-rl-training (w3)

[S1366] arxiv.org/html/2501.12599 · — via W3-kimi-k15-long-rl (w3)

[S1367] arxiv.org/pdf/2501.12599 · — via W3-kimi-k15-long-rl (w3)

[S1368] arxiv.org/abs/2501.12599 · — via W3-kimi-k15-long-rl (w3)

[S1369] arxiv.org/search/?searchtype=all&query=%22agentic+data%22&start=0 · — via I3-arxiv-survey-papers (w1fix2)

[S1370] arxiv.org/search/?searchtype=all&query=%22agent+benchmarks%22+survey · — via I3-arxiv-survey-papers (w1fix2)

[S1371] arxiv.org/search/advanced?advanced=1&terms-0-operator=AND&terms-0-term=%22agentic+data%22&terms-0-field=all&te · — via I3-arxiv-survey-papers (w1fix2)

[S1372] arxiv.org/abs/2604.00835 · — via I3-arxiv-survey-papers (w1fix2)

[S1373] arxiv.org/html/2604.00835 · — via I3-arxiv-survey-papers (w1fix2)

[S1374] arxiv.org/abs/2405.17935 · — via I3-arxiv-survey-papers (w1fix2)

[S1375] arxiv.org/abs/2508.10955 · — via I3-arxiv-survey-papers (w1fix2)

[S1376] arxiv.org/html/2508.10955 · — via I3-arxiv-survey-papers (w1fix2)

[S1377] arxiv.org/abs/2511.09586 · — via I3-arxiv-survey-papers (w1fix2)

[S1378] arxiv.org/html/2511.09586 · — via I3-arxiv-survey-papers (w1fix2)

[S1379] arxiv.org/abs/2606.12191 · — via I3-arxiv-survey-papers (w1fix2)

[S1380] arxiv.org/html/2606.12191 · — via I3-arxiv-survey-papers (w1fix2)

[S1381] arxiv.org/html/2512.16301 · — via I3-arxiv-survey-papers (w1fix2)

[S1382] arxiv.org/html/2503.16416 · — via I3-arxiv-survey-papers (w1fix2)

[S1383] arxiv.org/abs/2506.11102 · — via I3-arxiv-survey-papers (w1fix2)

[S1384] arxiv.org/html/2506.11102 · — via I3-arxiv-survey-papers (w1fix2)

[S1385] arxiv.org/html/2507.02825 · — via I3-arxiv-survey-papers (w1fix2)

[S1386] arxiv.org/html/2507.21504 · — via I3-arxiv-survey-papers (w1fix2)

[S1387] arxiv.org/html/2609.11018 · — via I3-arxiv-survey-papers (w1fix2)

[S1388] arxiv.org/html/2506.08800 · — via I3-arxiv-survey-papers (w1fix2)

[S1389] arxiv.org/html/2504.13865 · — via I3-arxiv-survey-papers (w1fix2)

[S1390] arxiv.org/html/2503.23434 · — via I3-arxiv-survey-papers (w1fix2)

[S1391] arxiv.org/abs/2601.20617 · — via I3-arxiv-survey-papers (w1fix2)

[S1392] arxiv.org/abs/2503.16416 · — via I3-arxiv-survey-papers (w1fix2)

[S1393] arxiv.org/abs/2507.02825 · — via I3-arxiv-survey-papers (w1fix2)

[S1394] arxiv.org/abs/2507.21504 · — via I3-arxiv-survey-papers (w1fix2)

[S1395] arxiv.org/abs/2609.11018 · — via I3-arxiv-survey-papers (w1fix2)

[S1396] arxiv.org/abs/2506.08800 · — via I3-arxiv-survey-papers (w1fix2)

[S1397] arxiv.org/abs/2504.13865 · — via I3-arxiv-survey-papers (w1fix2)

[S1398] arxiv.org/abs/2503.23434 · — via I3-arxiv-survey-papers (w1fix2)

[S1399] arxiv.org/abs/2512.16301 · — via I3-arxiv-survey-papers (w1fix2)

[S1400] arxiv.org/search/?searchtype=all&query=%22agentic+data%22 · — via I3-arxiv-survey-papers (w1fix2)

[S1401] arxiv.org/html/2601.20617 · — via I3-arxiv-survey-papers (w1fix2)

[S1402] arxiv.org/pdf/2508.06471 · — via W3-glm45-midtraining-ratio (w3)

[S1403] arxiv.org/html/2508.06471v1 · — via W3-glm45-midtraining-ratio (w3)

[S1404] z.ai/blog/glm-4.5 · — via W3-glm45-midtraining-ratio (w3)

[S1405] api.openreview.net/notes/search?term=GLM-4.5&content=all&group=all&source=all · — via W3-glm45-midtraining-ratio (w3)

[S1406] arxiv.org/e-print/2508.06471 · — via W3-glm45-midtraining-ratio (w3)

[S1407] arxiv.org/html/2508.06471v1/pretrain.svg · — via W3-glm45-midtraining-ratio (w3)

[S1408] huggingface.co/papers/2508.06471 · — via W3-glm45-midtraining-ratio (w3)

[S1409] vintagedata.org/blog/posts/what-is-mid-training · — via G7-midtraining-definition-survey (w1fix)

[S1410] arxiv.org/abs/2506.20512 · — via G7-midtraining-definition-survey (w1fix)

[S1411] arxiv.org/abs/2404.14219 · — via G7-midtraining-definition-survey (w1fix)

[S1412] arxiv.org/abs/2404.06395 · — via G7-midtraining-definition-survey (w1fix)

[S1413] arxiv.org/abs/2412.01253 · — via G7-midtraining-definition-survey (w1fix)

[S1414] arxiv.org/abs/2412.08905 · — via G7-midtraining-definition-survey (w1fix)

[S1415] arxiv.org/abs/2502.02737 · — via G7-midtraining-definition-survey (w1fix)

[S1416] arxiv.org/abs/2508.01326 · — via G7-midtraining-definition-survey (w1fix)

[S1417] arxiv.org/abs/2509.24375 · — via G7-midtraining-definition-survey (w1fix)

[S1418] arxiv.org/abs/2510.06826 · — via G7-midtraining-definition-survey (w1fix)

[S1419] arxiv.org/abs/2510.23081 · — via G7-midtraining-definition-survey (w1fix)

[S1420] arxiv.org/abs/2609.13356 · — via G7-midtraining-definition-survey (w1fix)

[S1421] www.interconnects.ai/p/olmo-2-pod · — via G7-midtraining-definition-survey (w1fix)

[S1422] www.interconnects.ai/p/qwen-3-the-new-open-standard · — via G7-midtraining-definition-survey (w1fix)

[S1423] x.com/natolambert/status/1849600545545216296 · — via G7-midtraining-definition-survey (w1fix)

[S1424] arxiv.org/abs/2606.15007 · — via G7-midtraining-definition-survey (w1fix)

[S1425] x.com/YangyiChen6666/status/2062659070918869041 · — via G7-midtraining-definition-survey (w1fix)

[S1426] arxiv.org/abs/2411.15242 · — via W3-formatted-data-late-pretraining (w3)

[S1427] arxiv.org/abs/2512.13961 · — via W3-formatted-data-late-pretraining (w3)

[S1428] arxiv.org/abs/2504.03624 · — via W3-formatted-data-late-pretraining (w3)

[S1429] arxiv.org/abs/2603.17074 · — via W3-formatted-data-late-pretraining (w3)

[S1430] arxiv.org/abs/2309.14316 · — via W3-formatted-data-late-pretraining (w3)

[S1431] arxiv.org/abs/2309.14402 · — via W3-formatted-data-late-pretraining (w3)

[S1432] arxiv.org/abs/2406.14491 · — via W3-formatted-data-late-pretraining (w3)

[S1433] arxiv.org/abs/2401.16380 · — via W3-formatted-data-late-pretraining (w3)

[S1434] arxiv.org/abs/2609.09081 · — via W3-formatted-data-late-pretraining (w3)

[S1435] huggingface.co/api/datasets?search=korean+terminal · — via W3-korean-terminal-cli-bench (w3)

[S1436] github.com/search?q=korean+terminal+benchmark&type=repositories · — via W3-korean-terminal-cli-bench (w3)

[S1437] huggingface.co/datasets/drlee1/kotraj-bench · — via W3-korean-terminal-cli-bench (w3)

[S1438] huggingface.co/datasets/drlee1/kotraj · — via W3-korean-terminal-cli-bench (w3)

[S1439] huggingface.co/datasets/LLM-OS-Models/LFM2.5-KO-SFT-Stage1-Legal-Terminal-LFMChat-8K · — via W3-korean-terminal-cli-bench (w3)

[S1440] huggingface.co/datasets/LLM-OS-Models/Qwen-Terminal-ToolBench-Processed-Tokenized · — via W3-korean-terminal-cli-bench (w3)

[S1441] huggingface.co/datasets/EunsuKim/CLIcK · — via W3-korean-terminal-cli-bench (w3)

[S1442] github.com/umyunsang/UMMAYA · — via W3-korean-terminal-cli-bench (w3)

[S1443] github.com/CroinDA/gojipsa-cmux · — via W3-korean-terminal-cli-bench (w3)

[S1444] github.com/SuhJae/koter · — via W3-korean-terminal-cli-bench (w3)

[S1445] github.com/ekvm80/cli · — via W3-korean-terminal-cli-bench (w3)

[S1446] export.arxiv.org/api/query?search_query=all:%22korean+terminal%22 · — via W3-korean-terminal-cli-bench (w3)

[S1447] api.crossref.org/works?query=korean+terminal+benchmark&rows=8 · — via W3-korean-terminal-cli-bench (w3)

[S1448] api.github.com/search/repositories?q=korean%20terminal%20benchmark&per_page=30 · — via W3-korean-terminal-cli-bench (w3)

[S1449] github.com/rladmstn1714/CLIcK · — via W3-korean-terminal-cli-bench (w3)

[S1450] arxiv.org/abs/2403.06412 · — via W3-korean-terminal-cli-bench (w3)

[S1451] huggingface.co/api/datasets?search=한국어+터미널 · — via W3-korean-terminal-cli-bench (w3)

[S1452] arxiv.org/abs/2510.24284 · — via W3-mcp-training-data (w3)

[S1453] arxiv.org/html/2510.24284 · — via W3-mcp-training-data (w3)

[S1454] huggingface.co/datasets/wwh0411/MCP-Flow · — via W3-mcp-training-data (w3)

[S1455] raw.githubusercontent.com/wwh0411/MCP-Flow/main/README.md · — via W3-mcp-training-data (w3)

[S1456] arxiv.org/html/2508.14704 · — via W3-mcp-training-data (w3)

[S1457] huggingface.co/datasets/Shuibai12138/mcp-universe-trajectories · — via W3-mcp-training-data (w3)

[S1458] huggingface.co/datasets/Shuibai12138/mcp-universe-finance-sft · — via W3-mcp-training-data (w3)

[S1459] arxiv.org/html/2508.20453 · — via W3-mcp-training-data (w3)

[S1460] huggingface.co/datasets/keerthanaSubru57/mcp-bench · — via W3-mcp-training-data (w3)

[S1461] huggingface.co/api/datasets?author=moonshotai · — via W3-mcp-training-data (w3)

[S1462] huggingface.co/datasets/greghavens/kimi-k3-coding-and-debugging-traces · — via W3-mcp-training-data (w3)

[S1463] huggingface.co/search/full-text?q=mcp-agent-traces&type=dataset · — via W3-mcp-training-data (w3)

[S1464] huggingface.co/datasets/mcphunt-benchmark/mcphunt-agent-traces · — via W3-mcp-training-data (w3)

[S1465] huggingface.co/api/datasets?author=nvidia · — via W3-mcp-training-data (w3)

[S1466] huggingface.co/api/datasets/nvidia/Nemotron-Post-Training-Dataset-v2?full=true · — via W3-mcp-training-data (w3)

[S1467] huggingface.co/datasets/jdaddyalbs/playwright-mcp-toolcalling · — via W3-mcp-training-data (w3)

[S1468] huggingface.co/datasets/Simon-Liu/kubectl-mcp-server-tool-call-reasoning-1k · — via W3-mcp-training-data (w3)

[S1469] huggingface.co/datasets/Simon-Liu/kubectl-mcp-server-tool-call-reasoning-6k · — via W3-mcp-training-data (w3)

[S1470] huggingface.co/datasets/stindardlogic/mcp-tool-traces · — via W3-mcp-training-data (w3)

[S1471] huggingface.co/datasets/stindardlogic/mcp-tool-traces-v2 · — via W3-mcp-training-data (w3)

[S1472] huggingface.co/datasets/MCP-1st-Birthday/smoltrace-finance-tasks · — via W3-mcp-training-data (w3)

[S1473] huggingface.co/datasets/ASTERIZER/LUNA-RAG-MCP-SFT-10M · — via W3-mcp-training-data (w3)

[S1474] huggingface.co/datasets/muhammadtlha944/mcp-agent-training-data · — via W3-mcp-training-data (w3)

[S1475] huggingface.co/datasets/emrecandan0/phi3_mcp_dataset · — via W3-mcp-training-data (w3)

[S1476] huggingface.co/datasets/springofwindslabs/mcp-agent-trajectory-benchmark · — via W3-mcp-training-data (w3)

[S1477] huggingface.co/datasets/Ankit0805/mcp_rl · — via W3-mcp-training-data (w3)

[S1478] huggingface.co/datasets/pavan01729/mcp_traces_v1 · — via W3-mcp-training-data (w3)

[S1479] huggingface.co/datasets/Layue13/mcp-tool-calling-dataset · — via W3-mcp-training-data (w3)

[S1480] huggingface.co/datasets/stormvirus/mcp-training-dataset · — via W3-mcp-training-data (w3)

[S1481] huggingface.co/datasets/Lyric1010/MCP_SFT · — via W3-mcp-training-data (w3)

[S1482] huggingface.co/datasets/hanzoai/zen-agentic-dataset · — via W3-mcp-training-data (w3)

[S1483] huggingface.co/datasets/yashsoni78/conversation_data_mcp_100 · — via W3-mcp-training-data (w3)

[S1484] github.com/KeerthanaS04/mcp-bench · — via W3-mcp-training-data (w3)

[S1485] arxiv.org/abs/2511.21689 · — via W3-mcp-training-data (w3)

[S1486] huggingface.co/api/datasets?author=LiquidAI · — via W3-mcp-training-data (w3)

[S1487] huggingface.co/datasets/emrecandan0/finetuning_mcp_dataset · — via W3-mcp-training-data (w3)

[S1488] arxiv.org/html/2504.13837 · — via W3-rl-sharpens-vs-expands (w3)

[S1489] arxiv.org/abs/2504.13837 · — via W3-rl-sharpens-vs-expands (w3)

[S1490] arxiv.org/html/2501.17161 · — via W3-rl-sharpens-vs-expands (w3)

[S1491] arxiv.org/abs/2604.14877 · — via W3-rl-sharpens-vs-expands (w3)

[S1492] arxiv.org/html/2510.15047 · — via W3-rl-sharpens-vs-expands (w3)

[S1493] arxiv.org/abs/2603.02045 · — via W3-rl-sharpens-vs-expands (w3)

[S1494] arxiv.org/html/2508.19201 · — via W3-rl-sharpens-vs-expands (w3)

[S1495] arxiv.org/html/2609.01245 · — via W3-rl-sharpens-vs-expands (w3)

[S1496] arxiv.org/abs/2511.16231 · — via W3-rl-sharpens-vs-expands (w3)

[S1497] arxiv.org/abs/2501.17161 · — via W3-rl-sharpens-vs-expands (w3)

[S1498] arxiv.org/html/2604.14877 · — via W3-rl-sharpens-vs-expands (w3)

[S1499] api.semanticscholar.org/graph/v1/paper/arXiv:2504.13837?fields=title,venue,year · — via W3-rl-sharpens-vs-expands (w3)

[S1500] api.semanticscholar.org/graph/v1/paper/arXiv:2501.17161?fields=title,venue,year,publicationVenue · — via W3-rl-sharpens-vs-expands (w3)

[S1501] arxiv.org/html/2409.03215v1 · — via W3-sft-only-tool-sota (w3)

[S1502] web.archive.org/web/20240918225146id_/https://gorilla.cs.berkeley.edu/data_combined.csv · — via W3-sft-only-tool-sota (w3)

[S1503] huggingface.co/Salesforce/xLAM-7b-fc-r/raw/main/README.md · — via W3-sft-only-tool-sota (w3)

[S1504] arxiv.org/html/2406.18518 · — via W3-sft-only-tool-sota (w3)

[S1505] ar5iv.labs.arxiv.org/html/2307.16789 · — via W3-sft-only-tool-sota (w3)

[S1506] huggingface.co/ToolBench/ToolLLaMA-2-7b-v2/raw/main/README.md · — via W3-sft-only-tool-sota (w3)

[S1507] web.archive.org/web/20230801012815/https://openbmb.github.io/ToolBench/ · — via W3-sft-only-tool-sota (w3)

[S1508] arxiv.org/abs/2409.03215 · — via W3-sft-only-tool-sota (w3)

[S1509] arxiv.org/html/2504.13958 · — via W3-sft-only-tool-sota (w3)

[S1510] raw.githubusercontent.com/qiancheng0/ToolRL/main/README.md · — via W3-sft-only-tool-sota (w3)

[S1511] arxiv.org/html/2505.16410 · — via W3-sft-only-tool-sota (w3)

[S1512] arxiv.org/html/2504.03601 · — via W3-sft-only-tool-sota (w3)

[S1513] arxiv.org/abs/2505.16410 · — via W3-sft-only-tool-sota (w3)

[S1514] huggingface.co/Salesforce/Llama-xLAM-2-8b-fc-r/raw/main/README.md · — via W3-sft-only-tool-sota (w3)

[S1515] huggingface.co/api/models?author=Salesforce&search=xLAM · — via W3-sft-only-tool-sota (w3)

[S1516] ai.meta.com/blog/llama-4-multimodal-intelligence/ · — via W3-other-labs-midtraining-disclosure (w3)

[S1517] huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct/raw/main/README.md · — via W3-other-labs-midtraining-disclosure (w3)

[S1518] www.llama.com/ai/docs/model-cards-and-prompt-formats/llama4/ · — via W3-other-labs-midtraining-disclosure (w3)

[S1519] arxiv.org/html/2506.13585 · — via W3-other-labs-midtraining-disclosure (w3)

[S1520] arxiv.org/html/2411.02265 · — via W3-other-labs-midtraining-disclosure (w3)

[S1521] raw.githubusercontent.com/Tencent/llm.hunyuan.T1/main/README_EN.md · — via W3-other-labs-midtraining-disclosure (w3)

[S1522] raw.githubusercontent.com/ByteDance-Seed/seed-oss/master/README.md · — via W3-other-labs-midtraining-disclosure (w3)

[S1523] arxiv.org/html/2504.13914 · — via W3-other-labs-midtraining-disclosure (w3)

[S1524] qwenlm.github.io/blog/qwen3-coder/ · — via W3-other-labs-midtraining-disclosure (w3)

[S1525] raw.githubusercontent.com/QwenLM/Qwen3-Coder/main/qwen3_coder_next_tech_report.pdf · — via W3-other-labs-midtraining-disclosure (w3)

[S1526] arxiv.org/abs/2506.13585 · — via W3-other-labs-midtraining-disclosure (w3)

[S1527] web.archive.org/web/20250405185132id_/https://ai.meta.com/blog/llama-4-multimodal-intelligence/ · — via W3-other-labs-midtraining-disclosure (w3)

[S1528] arxiv.org/abs/2411.02265 · — via W3-other-labs-midtraining-disclosure (w3)

[S1529] arxiv.org/abs/2504.13914 · — via W3-other-labs-midtraining-disclosure (w3)

[S1530] arxiv.org/abs/2505.15431 · — via W3-other-labs-midtraining-disclosure (w3)

[S1531] arxiv.org/abs/2107.03374 · — via W3-codex-claudecode-trajectory-data (w3)

[S1532] openai.com/index/openai-codex/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1533] cdn.openai.com/gpt-5-system-card.pdf · — via W3-codex-claudecode-trajectory-data (w3)

[S1534] cdn.openai.com/pdf/97cc5669-7a25-4e63-b15f-5fd5bdc4d149/gpt-5-codex-system-card.pdf · — via W3-codex-claudecode-trajectory-data (w3)

[S1535] openai.com/index/gpt-5-1-codex-max-system-card/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1536] cdn.openai.com/pdf/2a7d98b1-57e5-4147-8d0e-683894d782ae/5p1_codex_max_card_03.pdf · — via W3-codex-claudecode-trajectory-data (w3)

[S1537] openai.com/index/gpt-5-1-codex-max/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1538] openai.com/index/introducing-gpt-5/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1539] openai.com/policies/api-data-usage-policies · — via W3-codex-claudecode-trajectory-data (w3)

[S1540] openai.com/index/swe-lancer/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1541] arxiv.org/abs/2502.12115 · — via W3-codex-claudecode-trajectory-data (w3)

[S1542] openai.com/index/introducing-swe-bench-verified/ · — via W3-codex-claudecode-trajectory-data (w3)

[S1543] github.com/openai/codex · — via W3-codex-claudecode-trajectory-data (w3)

[S1544] code.claude.com/docs/en/data-usage · — via W3-codex-claudecode-trajectory-data (w3)

[S1545] www.anthropic.com/claude-opus-4-5-system-card · — via W3-codex-claudecode-trajectory-data (w3)

[S1546] assets.anthropic.com/m/785e231869ea8b3b/original/claude-3-7-sonnet-system-card.pdf · — via W3-codex-claudecode-trajectory-data (w3)

[S1547] www.anthropic.com/legal/consumer-terms · — via W3-codex-claudecode-trajectory-data (w3)

[S1548] www.anthropic.com/legal/commercial-terms · — via W3-codex-claudecode-trajectory-data (w3)

[S1549] www.anthropic.com/legal/privacy · — via W3-codex-claudecode-trajectory-data (w3)

[S1550] www.anthropic.com/research/claude-code-expertise · — via W3-codex-claudecode-trajectory-data (w3)

[S1551] www.anthropic.com/news/claude-4 · — via W3-codex-claudecode-trajectory-data (w3)

[S1552] github.com/anthropics/claude-code · — via W3-codex-claudecode-trajectory-data (w3)

[S1553] github.com/agentica-project/R2E-Gym · — via W3-codex-claudecode-trajectory-data (w3)

[S1554] huggingface.co/datasets/harborframework/terminal-bench-3.0 · — via W3-codex-claudecode-trajectory-data (w3)

[S1555] arxiv.org/abs/2407.16741 · — via W3-codex-claudecode-trajectory-data (w3)

[S1556] huggingface.co/datasets/nvidia/SWE-Zero-openhands-trajectories · — via W3-codex-claudecode-trajectory-data (w3)

[S1557] github.com/princeton-nlp/SWE-agent · — via W3-codex-claudecode-trajectory-data (w3)

[S1558] arxiv.org/abs/2405.15793 · — via W3-codex-claudecode-trajectory-data (w3)

[S1559] github.com/Aider-AI/aider · — via W3-codex-claudecode-trajectory-data (w3)

[S1560] aider.chat/docs/faq.html · — via W3-codex-claudecode-trajectory-data (w3)

[S1561] arxiv.org/abs/2604.20779 · — via W3-codex-claudecode-trajectory-data (w3)

[S1562] huggingface.co/datasets/SALT-NLP/SWE-chat · — via W3-codex-claudecode-trajectory-data (w3)

[S1563] huggingface.co/datasets/crispwisp/wisp-claude-code-sessions · — via W3-codex-claudecode-trajectory-data (w3)

[S1564] huggingface.co/datasets/armand0e/kimi-k2.6-claude-code-traces · — via W3-codex-claudecode-trajectory-data (w3)