datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ultrabin_clean_max_chosen_min_rejected_rationalized_truthfulnessultrabin_clean_max_chosen_min_rejected_rationalized_honestymagpie-reasoning-v1-20k-math-verifiable-step-by-step-rationaleMind2Web-HTML-cleaned-lite-with-desc_w_tao_value_rationaleultrafeedback_rationale_Qwen2.5-3B-Instruct_cotultrabin_clean_max_chosen_min_rejected_rationalized_instruction_followingRationalRewards_DiffusionNFT_TrainDataTLDR: this is the diffusion RL training dataset for text-to-image generation and image editing, from the following paper.
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Haozhe Wang1
Cong Wei2
Weiming Ren2
Jiaming Liu3
Fangzhen Lin1
Wenhu Chen2
1 HKUST
2 University of Waterloo
3 Alibaba
RationalRewards is a… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/RationalRewards_DiffusionNFT_TrainData.ultrafeedback_rationale_Qwen2.5-3B-Instruct_ultra_sft_2e-5_thre-0.7_packing_42_cotultrafeedback_rationale_Llama-3.2-3B-Instruct_cotRationale_MCTS
Rationale MCTS Dataset: Enabling LLMs to Assess Through Rationale Thought Trees
The Rationale MCTS dataset consists of intermediate assessment rationales generated by large language models (LLMs). These rationales are "noisy," meaning they might contain errors or approximate reasoning, tailored for step-by-step explainable assessment of student answers in science and biology. The dataset targets questions from the The Hewlett Foundation: Short Answer Scoring competition, available… See the full description on the dataset page: https://huggingface.co/datasets/jiazhengli/Rationale_MCTS.magpie-reasoning-v1-10k-step-by-step-rationalerationale-databricks-dolly-cqa
Dataset Overview
Filtered and annotated version of the closed-question answering part (~1.5k datapoints) of the Databricks Dolly Dataset intended for the task of rationale extraction.
Citation
@article{pirenne2024exploration,
title={Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset},
author={Pirenne, Lize and Mokeddem, Samy and Ernst, Damien and Louppe, Gilles},
year={2024}
}… See the full description on the dataset page: https://huggingface.co/datasets/Inversta/rationale-databricks-dolly-cqa.ultrabin_clean_max_chosen_min_rejected_rationalized_helpfulnessjanli_synthetic_rationale
JaNLI synthetic rationale
JaNLI: 日本語の言語現象に基づく 敵対的推論データセットの回答の判断根拠を、実験的に、言語モデルによって付与したデータセットです。
Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference
判断根拠の付与にはmicrosoft/Phi-3-medium-4k-instructを用いました。
特徴
1件のサンプルにつき、4件の回答の判断根拠の候補文を付与しています。
Greedy Search(do_sample=False)では判断根拠を述べない事例が多く確認されたため、生成パラメータを変動させて4件の判断根拠の候補文を出力させています。
どの判断根拠の候補文を採用すべきかは作成者もまだ回答を持っていません。
引用… See the full description on the dataset page: https://huggingface.co/datasets/ryota39/janli_synthetic_rationale.ultrafeedback_rationale_Qwen2.5-3B-Instruct_directvivqa_rationale_v3socio-moral-image-rationales
Socio-Moral Image Rationales
This is a collection of machine-generated and human-labeled explanations for immorality in images.
The images are source from the Socio-Moral Image Database (SMID) and limited to the ones displaying immoral content (SMID moral mean <= 2.0).
Sampled explanations were generated by vision-language model using the ILLUME paradigm presented in ILLUME: Rationalizing Vision-Language Models through Human Interactions.
Explanations are rated by human annotators… See the full description on the dataset page: https://huggingface.co/datasets/AIML-TUDA/socio-moral-image-rationales.CoT-Collection-RationalesFINCH_TRAIN_SA_FPB_ALL_NEW_RationaleFINCH_TRAIN_SA_FPB_400_NEW_RationaleESG_ver1_rationalerationalwiki
RationalWiki
A full dump of RationalWiki, a MediaWiki-based encyclopedia focused on analyzing and refuting pseudoscience, authoritarianism, and online extremism. The dump includes all 23,385 pages (9,421 articles and 13,964 redirects) with raw wikitext markup preserved.
Columns
Column
Type
Description
title
string
Page title
page_id
int
MediaWiki page ID
revision_id
int
Revision ID of the exported version
timestamp
string
Last edit timestamp (ISO 8601)… See the full description on the dataset page: https://huggingface.co/datasets/trentmkelly/rationalwiki.ultrafeedback_rationale_Qwen2.5-3B-Instruct_cot_v3FINCH_TRAIN_SA_FPB_100_NEW_Rationaleultrabin_clean_max_chosen_min_rejected_rationalizedultrabin_clean_max_chosen_rand_rejected_rationalizedultrafeedback_rationale_gemma-2-2b-it_cotultrafeedback_rationale_Qwen2.5-14B-Instructultrafeedback_rationale_Qwen2.5-7B-Instruct_cotCoT-Collection-Rationales-new