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Publish v0.5.0 SFT sources and author selections
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{
"schema_version": 1,
"updated": "2026-10-14",
"benchmarks": [
{
"id": "browsecomp",
"name": "BrowseComp",
"description": "Research-style web browsing and answer synthesis.",
"url": "https://github.com/openai/simple-evals",
"metric": {
"name": "answer correctness",
"type": "llm_judge",
"direction": "higher_is_better",
"imported_evidence": "Source-reported GPT-4o answer judge.",
"caveat": "The judge result was not independently reproduced."
},
"source_ids": ["browsecomp_rollouts"]
},
{
"id": "mind2web",
"name": "Mind2Web",
"description": "Human demonstrations for completing tasks on real websites.",
"url": "https://osu-nlp-group.github.io/Mind2Web/",
"metric": {
"name": "step and element accuracy",
"type": "action_match",
"direction": "higher_is_better",
"imported_evidence": "Human action and pre-action DOM context.",
"caveat": "The imported demonstrations have no task-level execution result."
},
"source_ids": ["mind2web"]
},
{
"id": "swe-bench",
"name": "SWE-bench",
"description": "Resolve real software repository issues.",
"url": "https://www.swebench.com/",
"metric": {
"name": "resolved",
"type": "native_binary",
"direction": "higher_is_better",
"imported_evidence": "Source-published repository test result.",
"caveat": "Results were not replayed by this project."
},
"source_ids": [
"nvidia_open_swe_traces",
"swebench_multilingual_glm5",
"swebench_multilingual_minimax_m25",
"swebench_multilingual_trajectories",
"swebench_verified_trajectories"
]
},
{
"id": "swe-gym",
"name": "SWE-Gym",
"description": "Train and evaluate software-engineering agents on repository tasks.",
"url": "https://github.com/SWE-Gym/SWE-Gym",
"metric": {
"name": "execution-test success",
"type": "native_binary",
"direction": "higher_is_better",
"imported_evidence": "Published successful split or source execution-test result.",
"caveat": "The OpenHands SFT release is success-conditioned."
},
"source_ids": ["swegym_openhands", "swegym_sampled"]
},
{
"id": "swe-smith",
"name": "SWE-smith",
"description": "Generated software-engineering tasks with executable validation.",
"url": "https://github.com/SWE-bench/SWE-smith",
"metric": {
"name": "resolved",
"type": "native_binary",
"direction": "higher_is_better",
"imported_evidence": "Source-published resolved field.",
"caveat": "Results were not replayed by this project."
},
"source_ids": ["swesmith_trajectories"]
},
{
"id": "tau2-bench",
"name": "τ2-bench",
"description": "Tool-using agents interacting with simulated users in service domains.",
"url": "https://github.com/sierra-research/tau2-bench",
"metric": {
"name": "evaluator correctness and reward",
"type": "native_reward",
"direction": "higher_is_better",
"imported_evidence": "AgentSuite evaluator score, database match and correctness fields.",
"caveat": "AgentSuite trajectories use τ2 tasks and are not version-matched τ3 results."
},
"source_ids": ["agentsuite_tau2", "areal_tau2_sft"]
},
{
"id": "tau3-bench",
"name": "τ3-bench",
"description": "Tool-using agents and simulated users with environment reward evidence.",
"url": "https://github.com/sierra-research/tau2-bench",
"metric": {
"name": "environment/action/communication reward",
"type": "native_reward",
"direction": "higher_is_better",
"imported_evidence": "Reward evidence from an official checked-in result file.",
"caveat": "Only the imported result file is represented."
},
"source_ids": ["official_tau3"]
},
{
"id": "terminal-bench",
"name": "Terminal-Bench",
"description": "Complete practical tasks in sandboxed terminal environments.",
"url": "https://github.com/laude-institute/terminal-bench",
"metric": {
"name": "task reward",
"type": "native_reward",
"direction": "higher_is_better",
"imported_evidence": "Source-reported Terminal-Bench reward.",
"caveat": "Scores were not replayed by this project."
},
"source_ids": ["terminalbench_trajectories", "litecoder_terminal_sft"]
},
{
"id": "terminaltraj",
"name": "TerminalTraj",
"description": "A corpus of terminal command and observation trajectories.",
"url": "https://huggingface.co/datasets/m-a-p/TerminalTraj",
"metric": {
"name": "not available",
"type": "none",
"direction": "not_applicable",
"imported_evidence": "Paired command and terminal-output transcript.",
"caveat": "No trustworthy task-level success field is published."
},
"source_ids": ["terminaltraj"]
},
{
"id": "toolbench",
"name": "ToolBench",
"description": "Tool-use planning and API-call trajectories.",
"url": "https://github.com/OpenBMB/ToolBench",
"metric": {
"name": "valid-data/win generation status",
"type": "source_proxy",
"direction": "higher_is_better",
"imported_evidence": "Published generation status.",
"caveat": "This is not independent semantic proof of task success."
},
"source_ids": ["toolbench", "toolbench_full"]
},
{
"id": "bfcl-v4",
"name": "BFCL V4",
"description": "Agentic function-calling tasks with web and memory tool environments.",
"url": "https://gorilla.cs.berkeley.edu/leaderboard.html",
"metric": {
"name": "BFCL evaluator score",
"type": "native_binary",
"direction": "higher_is_better",
"imported_evidence": "AgentSuite-published V4 evaluator score.",
"caveat": "Only web and memory rows with returned tool observations qualify; scores were not rerun."
},
"source_ids": ["agentsuite_bfcl_v4"]
},
{
"id": "deepswe",
"name": "DeepSWE",
"description": "Repository engineering tasks executed by multi-agent DeLM teams.",
"url": "https://huggingface.co/datasets/yuzhenm/delm-720-trajectories",
"metric": {
"name": "CTRF test-suite pass",
"type": "native_binary",
"direction": "higher_is_better",
"imported_evidence": "Published per-agent CTRF grading summaries.",
"caveat": "Protected evaluation tasks contain anti-training canaries and were not replayed here."
},
"source_ids": ["delm_deepswe"]
},
{
"id": "terminal-bench-4",
"name": "Terminal-Bench 4",
"description": "Protected terminal tasks executed by multi-agent DeLM teams.",
"url": "https://huggingface.co/datasets/yuzhenm/delm-720-trajectories",
"metric": {
"name": "task reward",
"type": "native_reward",
"direction": "higher_is_better",
"imported_evidence": "Published per-agent grader reward.",
"caveat": "Protected evaluation tasks contain Harbor anti-training canaries and were not replayed here."
},
"source_ids": ["delm_terminalbench4"]
}
]
}