datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OpenCodeReasoningRubrics
OpenCodeReasoningRubrics
This dataset contains questions and rubric annotations intended for evaluating reasoning quality in open-ended coding or logical tasks.
Dataset Structure
Each example in the dataset has the following fields:
index (int): A unique identifier.
question (str): A natural language question or prompt.
rubric (str): An explanation or rubric detailing expectations or evaluation criteria.
The data is stored in split .parquet files for efficient loading… See the full description on the dataset page: https://huggingface.co/datasets/danikhan632/OpenCodeReasoningRubrics.HyperThink-X-Nvidia-Opencode-Reasoning-200K
🔮 HyperThink
HyperThink is a premium, best-in-class dataset series capturing deep reasoning interactions between users and an advanced Reasoning AI system. Designed for training and evaluating next-gen language models on complex multi-step tasks, the dataset spans a wide range of prompts and guided thinking outputs.
🚀 Dataset Tiers
HyperThink is available in three expertly curated versions, allowing flexible scaling based on compute resources and training goals:… See the full description on the dataset page: https://huggingface.co/datasets/Sashvat/HyperThink-X-Nvidia-Opencode-Reasoning-200K.cleaned_nvidia_OpenCodeReasoning元データ: https://huggingface.co/datasets/nvidia/OpenCodeReasoning
データ件数: 11,275
平均トークン数: 11251
最大トークン数: 19,802
合計トークン数: 126,859,041
ファイル形式: JSONL
ファイルサイズ: 707.4 MB
難易度スコアが15, カテゴリがcompetition、ライセンスがmitとcc-by-4.0をピックアップ
繰り返し除去
極端に少ない・多いなどを除去
詳しいコードはGithub
https://github.com/LLMTeamAkiyama/0-data_prepare/tree/master/src/opencodereasoning