datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ABC-Bench
ABC-Bench
💻 Code |
📑 Paper |
📝 Blog
📖 Overview
ABC-Bench is a benchmark for Agentic Backend Coding. It evaluates whether code agents can explore real repositories, edit code, configure environments, deploy containerized services, and pass external end-to-end API tests (HTTP-based integration tests) across realistic backend stacks.
📊 Benchmark Composition
🚀 Why ABC-Bench?
End-to-End Lifecycle: repository exploration → code… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/ABC-Bench.gaokao-sft-chinese-strict-abcd-v3
Gaokao SFT Chinese Strict ABCD V3
This dataset is the cleaned Chinese SFT release that keeps only single-choice samples where A, B, C, and D all have explicit option-level analysis.
Composition
Total samples: 88466
Train samples: 86670
Validation samples: 1796
Subject Counts
{
"biology": 33104,
"chemistry": 35796,
"english": 174,
"general_exam": 7982,
"geography": 888,
"history": 229,
"physics": 9986,
"politics": 307
}
Fields
id… See the full description on the dataset page: https://huggingface.co/datasets/callofthenight1/gaokao-sft-chinese-strict-abcd-v3.repro-abc-bench-an-agentic-bio-capabilities-benchmark-for-biosecurity-traces
Agent traces
Agent sessions published from a Trackio Logbook.
round5-abcd-cells
Round-5 self-verifier D-cut — four new-verifier mechanisms (2026-08-18)
Four opt-in verifier mechanisms on top of the v7 stack (official-sample anchoring +
validity probes + wb-cands 8 + wb-certify), one arm each, on the 295-problem
mechanism-screening slice (u00+u01 of the 589 pool; same problems, budgets,
loop-0 population and GENSEED as the observed sv cells — rows are directly
comparable to the sv7/sv7d/pw7/sel7/sum7 screen table).
arm
flag
mechanism
bru7… See the full description on the dataset page: https://huggingface.co/datasets/tts-sft/round5-abcd-cells.abc130k-screwdriver-mcap-lerobot-v3
ABC-130k MCAP → validated LeRobot v3 telemetry
Before → after: raw MCAP telemetry becomes a documented LeRobot v3.0 episode with preserved state/action mappings, provenance, and reader validation. Convert your MCAP free →
Community conversion produced by ViaCatalyst BYOD. This repository is not an official upstream release and is not affiliated with ABC-130k or Voxel51.
This is a provenance-complete conversion of one pinned MCAP episode from Voxel51's Apache-2.0 repackaging… See the full description on the dataset page: https://huggingface.co/datasets/ViaCatalyst/abc130k-screwdriver-mcap-lerobot-v3.gaokao-sft-chinese-strict-abcd
Gaokao SFT Chinese Balanced
This is the strict balanced Chinese SFT dataset version.
Only multiple-choice samples with explicit A/B/C/D option-level explanations are kept in this balanced release.
Composition
Total samples: 645
Train samples: 632
Validation samples: 13
Subject Counts
{
"biology": 199,
"chemistry": 170,
"english": 13,
"geography": 34,
"history": 118,
"physics": 77,
"politics": 34
}
Fields
id
lang
subject
source… See the full description on the dataset page: https://huggingface.co/datasets/callofthenight1/gaokao-sft-chinese-strict-abcd.abcnotation_examplesThis is a collection of abc notation 'tunes' in the format of
{"text": "tune data"}
zygai_lintel98_companies_ABC
🏢 ZygAI – Lintel Info ‘98: Lithuanian Companies Dataset (ABC)
ZygAI Lintel ‘98 Companies is a fully digitized, structured dataset based on the Lithuanian business information catalog “Lintel Info ‘98 – Įmonių anketiniai duomenys”.Originally published in 1998, this dataset preserves and structures detailed records of Lithuanian IT, technology, and service companies that operated during the early post-Soviet economic period.
📘 Overview
This dataset contains… See the full description on the dataset page: https://huggingface.co/datasets/ZygAI/zygai_lintel98_companies_ABC.rollout_VarunGiridhar3_abcdit_stackcups_right_filteredbc_r1_005000_r0_20260809_000332rollout_VarunGiridhar3_abcdit_stackcups_right_005000_bcq_negft010k_r0_20260808_194142abc-love2abc-datasetrollout_abcdit_stackcups_right_005000_bc_r0_20260808_165837abcabcabc_historyexam_abcabctest-abcabcarsene-wenger-responseslilismabcABC_doc