datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
judged_science_completionsseverity_ablation_sciencenatural-science-reasoning
Natural Sciences Reasoning: the "smolest" reasoning dataset
A smol-scale open dataset for reasoning tasks using Hugging Face Inference Endpoints. While intentionally limited in scale, this resource prioritizes:
Reproducible pipeline for reasoning tasks using a variety of models (Deepseek V3, Deepsek-R1, Llama70B-Instruct, etc.)
Knowledge sharing for domains other than Math and Code reasoning
In this repo, you can find:
The prompts and the pipeline (see the config file).
The… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/natural-science-reasoning.science_traces_original_DeepSeek-R1-Distill-Qwen-32Bllama-nemotron-science-reasoning-on-canonical-think-full
Llama-Nemotron science reasoning — Delphi canonical-think (COMPLETE, no length filter)
The complete reasoning:on science split of
nvidia/Llama-Nemotron-Post-Training-Dataset, converted once into the canonical
Delphi chat-template thinking format. 708,920 rows.
Unlike the cold-start warmup slice
open-athena/llama-nemotron-science-reasoning-on-le3000tok-100k
(and its -canonical-think variant), this build applies no length cap and no subsample — every
long-CoT science example is… See the full description on the dataset page: https://huggingface.co/datasets/laion/llama-nemotron-science-reasoning-on-canonical-think-full.science_reasoning
science_reasoning
Mistral-7B의 과학 지식·추론 능력 향상을 위해 6개 공개 과학 객관식 QA 데이터셋을 통일 포맷으로 변환하고, ARC-Challenge test와의 오염을 제거한 데이터셋입니다.
원본 데이터셋
allenai/sciq
allenai/openbookqa (main)
allenai/qasc
allenai/quartz
allenai/ai2_arc (ARC-Easy / ARC-Challenge)
nguyen-brat/worldtree
전처리
포맷 통일: 각 데이터셋의 서로 다른 스키마를 unique_id, orig_id, source, question, choices, answer, support 필드로 변환. support는 근거 문단/문장으로, 데이터셋별 원본 필드(support/fact/para/cot)에서 구성하거나 없으면 빈 문자열.… See the full description on the dataset page: https://huggingface.co/datasets/seonjeongh/science_reasoning.filtered_science_DeepSeek-R1-Distill-Qwen-32Bscience_questions_judged_science_traces_original_DeepSeek-R1-Distill-Qwen-32B_judged_science_traces_original_QwQ-32Bscience_traces_original_DeepSeek-R1-Distill-Qwen-1.5Bscience_questions_filteredscience_traces_original_QwQ-32Bscience_reasoning_datasetscience_traces_original_DeepSeek-R1-Distill-Qwen-14B_judged_science_traces_original_Phi-4-reasoning-plusscience_traces_original_DeepSeek-R1-Distill-Qwen-7B_judged_science_traces_original_DeepSeek-R1-Distill-Qwen-14B_judged_science_traces_original_EXAONE-Deep-32Bc_dfiltered_science_DeepSeek-R1-Distill-Qwen-32B_madversarial_insert_wrong_fact_t10science_traces_original_Phi-4-reasoning-plusc_dfiltered_science_DeepSeek-R1-Distill-Qwen-1_5B_mneutral_add_random_text_t70c_dfiltered_science_DeepSeek-R1-Distill-Qwen-7B_madversarial_insert_wrong_fact_t90c_dfiltered_science_DeepSeek-R1-Distill-Qwen-7B_madversarial_continue_unrelated_t90Science-Reasoning-Nvidiascience_traces_original_EXAONE-Deep-32Bc_dfiltered_science_DeepSeek-R1-Distill-Qwen-7B_madversarial_cont_wrong_reasoning_t30c_dfiltered_science_EXAONE-Deep-32B_mbenign_rewrite_trace_t10_judged_science_traces_original_DeepSeek-R1-Distill-Qwen-7Bexp_rob_dfiltered_science_DeepSeek-R1-Distill-Qwen-7B_mneutral_insert_random_characters_t30