datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scientific-verification
Scientific Verification Benchmark: NMC Cathodes
Dataset summary
The benchmark contains 50 scientific claims about NMC (lithium nickel manganese cobalt oxide) battery cathodes. Each claim is answered by Claude Opus 5, GPT 5.6 Luna and Gemini 3.1 Pro using a set of 20 open-access papers, producing 150 scored answers. The accompanying reference set contains 1,991 experiment-grounded measurements curated from 227 open-access papers, with experimental conditions and… See the full description on the dataset page: https://huggingface.co/datasets/GenData-Research/scientific-verification.sci-agent-verification-cascade
Scientific Agent Verification Cascade
Public evaluation fixtures and verified aggregate results for testing whether
scientific claims keep their source, meaning, uncertainty, and verification
requirements as they move between AI agents.
This dataset accompanies the
Scientific Agent Verification Cascade
codebase. Version 0.2.0
contains synthetic evaluation data and aggregate-only results. It contains no
raw hosted-model response, private holdout identifier,
source-record… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/sci-agent-verification-cascade.thinkprm-1K-verification-cotsThis dataset contains 1,000 high-quality synthetic verification chains-of-thought (CoTs) designed for training generative Process Reward Models (PRMs), as used in the paper "Process Reward Models That Think". The goal was to create a data-efficient alternative to traditional PRM training which often requires extensive human annotation or expensive rollouts.
Each instance consists of a math problem, a corresponding multi-step solution prefix (sourced from PRM800K [Lightman et al., 2023]), and a… See the full description on the dataset page: https://huggingface.co/datasets/launch/thinkprm-1K-verification-cots.clean_cot_verification_340k元データ: https://huggingface.co/datasets/Zigeng/CoT-Verification-340k
使用したコード: https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/CoT-Verification-340k
データ件数: 140,980
平均トークン数: 602
最大トークン数: 2,040
合計トークン数: 84,894,510
ファイル形式: JSONL
ファイル分割数: 2
合計ファイルサイズ: 256.3 MB
加工内容：
データセットIDの付与: データフレームのインデックスに1を加算して、base_datasets_idとして新しいID列を付与しました。
response列のフィルタリング: response列が「Yes,」で始まる行のみを保持し、それ以外の行を除外しました。
prompt列の文字長によるフィルタリング: prompt列の文字列の長さが80… See the full description on the dataset page: https://huggingface.co/datasets/LLMTeamAkiyama/clean_cot_verification_340k.