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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
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01Magpie-Align /Magpie-Qwen2.5-Pro-1M-v0.1 Project Web: https://magpie-align.github.io/ Arxiv Technical Report: https://arxiv.org/abs/2406.08464 Codes: https://github.com/magpie-align/magpie Abstract Click Here High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1.tabulartext-generation1M<n<10M19 likes2.2k downloads2y agoHugging Face02stevenyuan666 /fineweb-edu-2013-qwen2-7b FineWeb-Edu 2013 with Qwen2-7B token counts Every 2013 FineWeb-Edu document, prepared for continued pretraining, with token counts computed by a pinned Qwen2-7B tokenizer. The pipeline is year-agnostic: the year, source revision, tokenizer contract, and selection rule all come from a config file. 2013 uses processing_config.json. The 2017 companion dataset, which is large enough to require shuffling and a token budget rather than retaining everything, is at… See the full description on the dataset page: https://huggingface.co/datasets/stevenyuan666/fineweb-edu-2013-qwen2-7b.tabulartext-generation10M<n<100M0 likes553 downloads15d agoHugging Face03stevenyuan666 /fineweb-edu-2017-qwen2-7b FineWeb-Edu 2017 (~100B-token subset) with Qwen2-7B token counts A ~100B-token subset of FineWeb-Edu 2017, prepared for continued pretraining, with token counts computed by a pinned Qwen2-7B tokenizer. This dataset is a selected subset, not the complete 2017 crawl year. 2017 contains about 168B Qwen2-7B tokens, above the 100B target, so it was shuffled and subsetted: data/train/ holds 101,840,059 documents and 100,000,020,347 tokens, which is 59.29% of the 171,755,787 documents… See the full description on the dataset page: https://huggingface.co/datasets/stevenyuan666/fineweb-edu-2017-qwen2-7b.tabulartext-generation100M<n<1B0 likes196 downloads15d agoHugging Face04chrislimbe /pubmedqa-recursive-llm-degradation-qwen2.5-0.5b PubMedQA Recursive LLM Degradation — Qwen2.5-3B This repository contains synthetic biomedical question-answering data and model predictions generated as part of a study of recursive fine-tuning and model degradation. Base Model Qwen/Qwen2.5-3B Source Dataset The experiments use the PubMedQA dataset: qiaoxin/PubMedQA This repository contains generated/derived research artifacts and does not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-0.5b.tabularquestion-answering10K<n<100K0 likes139 downloads2d agoHugging Face05chrislimbe /pubmedqa-recursive-llm-degradation-qwen2.5-3b PubMedQA Recursive LLM Degradation — Qwen2.5-3B This repository contains synthetic biomedical question-answering data and model predictions generated as part of a study of recursive fine-tuning and model degradation. Base Model Qwen/Qwen2.5-3B Source Dataset The experiments use the PubMedQA dataset: qiaoxin/PubMedQA This repository contains generated/derived research artifacts and does not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-3b.tabularquestion-answering10K<n<100K0 likes136 downloads2d agoHugging Face06HINT-lab /Qwen2.5-7B-Instruct-Self-Calibration Efficient Test-Time Scaling via Self-Calibration This repository contains datasets used in the paper Efficient Test-Time Scaling via Self-Calibration. The datasets are used to evaluate the effectiveness of test-time scaling methods for LLMs. Each config_name in the metadata refers to a different reasoning dataset. More detailed descriptions of each dataset are needed. Consider adding a section for each config_name with a description, statistics, and any other relevant… See the full description on the dataset page: https://huggingface.co/datasets/HINT-lab/Qwen2.5-7B-Instruct-Self-Calibration.tabulartext-generation100K<n<1M0 likes119 downloads2y agoHugging Face07BoomQ /fineweb-edu-2016-qwen2 FineWeb-Edu 2016 / Qwen2 Completed 2016 crawl-year processing. Documents: 93,099,356. Actual recounted Qwen2 tokens: 99,541,846,844. Source: HuggingFaceFW/fineweb-edu, revision 87f09149ef4734204d70ed1d046ddc9ca3f2b8f9. The input inventory covers 9 crawl directories. date is the integer crawl year 2016, not an article publication date. Original text is preserved without cleaning, normalization, deduplication, truncation, or added formatting. Source token counts are not used.… See the full description on the dataset page: https://huggingface.co/datasets/BoomQ/fineweb-edu-2016-qwen2.tabulartext-generation10M<n<100M0 likes105 downloads16d agoHugging Face08bbidpa /Qwen2.5-Coder-0.5B-Flutter-steps-eval Qwen2.5-Coder-0.5B Flutter — Steps Mode — Validation Results Dataset Summary Held-out evaluation results for bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps, a fine-tune of Qwen2.5-Coder-0.5B for editing Flutter/Dart source files. In steps mode, the model is given an existing file and an edit instruction and generates a sequence of localized search/replace edit actions, each mechanically applied to the current file state before the next action is generated, until the… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps-eval.tabulartext-generation1K<n<10K0 likes104 downloads17d agoHugging Face09eagle0504 /multireward-grpo-gsm8k-rewards-qwen2.5-7b Multi-Reward GRPO — GSM8K Rewards (Qwen2.5-7B-Instruct) Raw rollout-level reward observations from the empirical Section of "Conditioned Multi-Reward Advantage Estimation: A Finite-Sample Analysis". This is the data that produced the headline Theorem 3 (correlation-dependent MSE floor) and Proposition 4 (sign-changing conditioning bias) figures on real LLM rollouts. Each rollout was sampled from Qwen/Qwen2.5-7B-Instruct on GSM8K test prompts at temperature 0.7. What's in… See the full description on the dataset page: https://huggingface.co/datasets/eagle0504/multireward-grpo-gsm8k-rewards-qwen2.5-7b.tabulartext-generation10K<n<100K0 likes99 downloads4mo agoHugging Face10bbidpa /Qwen2.5-Coder-0.5B-Flutter-direct-eval Qwen2.5-Coder-0.5B Flutter — Direct Mode — Validation Results Dataset Summary Held-out evaluation results for bbidpa/Qwen2.5-Coder-0.5B-Flutter-direct, a fine-tune of Qwen2.5-Coder-0.5B for editing Flutter/Dart source files. In direct mode, the model is given an existing file and an edit instruction and generates the complete modified file in a single forward pass (as opposed to the steps / iterative diff-based mode — see the sibling dataset… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Qwen2.5-Coder-0.5B-Flutter-direct-eval.tabulartext-generation1K<n<10K0 likes87 downloads17d agoHugging Face11BoomQ /fineweb-edu-2016-qwen2-sample FineWeb-Edu 2016 / Qwen2 Consistency sample — not the completed year. Documents: 900. Actual recounted Qwen2 tokens: 937,977. Source: HuggingFaceFW/fineweb-edu, revision 87f09149ef4734204d70ed1d046ddc9ca3f2b8f9. The input inventory covers 9 crawl directories. date is the integer crawl year 2016, not an article publication date. Original text is preserved without cleaning, normalization, deduplication, truncation, or added formatting. Source token counts are not used. Optional… See the full description on the dataset page: https://huggingface.co/datasets/BoomQ/fineweb-edu-2016-qwen2-sample.tabulartext-generationn<1K0 likes80 downloads16d agoHugging Face12Yooniel /qwen2.5-7b-instruct-nla-L20-finefineweb-100k Qwen2.5-7B-Instruct NLA training data — residual stream, block 20 Training data for a Natural Language Autoencoder on Qwen/Qwen2.5-7B-Instruct: residual-stream activations paired with natural-language explanations of the text they were taken from. Unlike the dataset this is derived from, the activation_vector column is included — every EasyNLA/nanoNLA trainer requires it. Trained models: https://huggingface.co/Yooniel/qwen2.5-7b-instruct-nla-L20 (AV val ppl 4.07, AR held-out FVE… See the full description on the dataset page: https://huggingface.co/datasets/Yooniel/qwen2.5-7b-instruct-nla-L20-finefineweb-100k.tabulartext-generation100K<n<1M0 likes45 downloads2mo agoHugging Face13youjunhyeok /Magpie-Qwen2-Pro-300K-Filtered-koTranslated Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered using nayohan/llama3-instrucTrans-enko-8b. For this dataset, we only used data that is 5000 characters or less in length and has language of English. Thanks for @Magpie-Align and @nayohan. @misc{xu2024magpie, title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing}, author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin}… See the full description on the dataset page: https://huggingface.co/datasets/youjunhyeok/Magpie-Qwen2-Pro-300K-Filtered-ko.tabulartext-generation100K<n<1M0 likes44 downloads2y agoHugging Face14danghoang2005 /qwen25-math-sft-long-15k-v1 Qwen2.5 Math SFT Long 15K v1 A reproducible Long CoT SFT dataset for Qwen2.5-Math-1.5B with max context 3,840 tokens (below 4,096 limit). Source: open-r1/OpenR1-Math-220k Total samples: 15,000 Decontaminated against GSM8K, SVAMP, MATH-500, AIME 2026. tabulartext-generation10K<n<100K0 likes44 downloads4d agoHugging Face15danghoang2005 /qwen25-math-sft-long-think7k-v1 Qwen2.5 Math Long-CoT thinking 7k 2,500 train and 250 validation rows. Long examples have 4,096–7,168 thinking tokens; complete ChatML samples including final answer and EOS fit in 8,192 tokens. Long source: open-r1/OpenR1-Math-220k at e4e141ec9dea9f8326f4d347be56105859b2bd68 (only math-verified generations). Short replay source: danghoang2005/qwen25-math-sft-long-15k-v1 at 32f0afc54a09c4963ae2478cf93871025abda901. Tokenizer: Qwen/Qwen2.5-Math-1.5B at… See the full description on the dataset page: https://huggingface.co/datasets/danghoang2005/qwen25-math-sft-long-think7k-v1.tabulartext-generation1K<n<10K0 likes31 downloads2d agoHugging Face16SkillFactory /BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-RLThese datasets are exactly like the Evaluation datasets except the model_responses array are budget forcing rounds. So the first response is at a maximum total context length of 4k, the second response (2nd index in the array) is a continuation of that last response up to a total of 8,192 tokens. Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-RL.tabulartext-generation10K<n<100K0 likes27 downloads10mo agoHugging Face17SkillFactory /BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-SkillFactory-RLThese datasets are exactly like the Evaluation datasets except the model_responses array are budget forcing rounds. So the first response is at a maximum total context length of 4k, the second response (2nd index in the array) is a continuation of that last response up to a total of 8,192 tokens. Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-SkillFactory-RL.tabulartext-generation10K<n<100K0 likes24 downloads10mo agoHugging Face18Ethahtz /creative-qwen2.5-7b-stories Ethahtz/creative-qwen2.5-7b-stories LLM creative generations from the creative_tasks pipeline (generate_infinite_chats.py) or any compatible generations.jsonl. Reproducibility and full per-run parameters are in generation_config.json in this dataset repository (one entry per config / run). Configs and loading Qwen-Qwen2.5-7B-Instruct_dsshort_story_prompts_bkvllm_seed42_top Model: Qwen/Qwen2.5-7B-Instruct Prompt source (dataset):… See the full description on the dataset page: https://huggingface.co/datasets/Ethahtz/creative-qwen2.5-7b-stories.tabulartext-generation10K<n<100K0 likes23 downloads5mo agoHugging Face19SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-SkillFactory-RL Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-SkillFactory-RL.tabulartext-generation10K<n<100K0 likes22 downloads10mo agoHugging Face20youjunhyeok /Magpie-Qwen2-Pro-200K-English-koTranslated Magpie-Align/Magpie-Qwen2-Pro-200K-English using nayohan/llama3-instrucTrans-enko-8b. For this dataset, we only used data that is 5000 characters or less in length and has language of English. Thanks for @Magpie-Align and @nayohan. @misc{xu2024magpie, title={Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing}, author={Zhangchen Xu and Fengqing Jiang and Luyao Niu and Yuntian Deng and Radha Poovendran and Yejin Choi and Bill Yuchen Lin}… See the full description on the dataset page: https://huggingface.co/datasets/youjunhyeok/Magpie-Qwen2-Pro-200K-English-ko.tabulartext-generation100K<n<1M1 likes21 downloads2y agoHugging Face21SkillFactory /EVAL-cd3args-Qwen2.5-7B-Instruct-RL Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-7B-Instruct-RL.tabulartext-generation10K<n<100K0 likes20 downloads10mo agoHugging Face22werty1248 /Magpie-Ko-Qwen2.5-Reasoning-Raw Data Generation System Message Korean Reasoning Template "pre_query_template": "<|im_start|>system\n당신은 알리바바 클라우드에서 만든 Qwen입니다. 당신은 유용한 어시스턴트입니다.\nuser가 논리적인 다단계의 추론 과정이 필요한 복잡한 문제를 내면, assistant는 한국어로 단계적으로 풀이를 제시합니다.<|im_end|>\n<|im_start|>user\n" (Original) "pre_query_template": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\n" Model Question: Qwen/Qwen2.5-32B-Instruct With… See the full description on the dataset page: https://huggingface.co/datasets/werty1248/Magpie-Ko-Qwen2.5-Reasoning-Raw.tabulartext-generation100K<n<1M1 likes19 downloads2y agoHugging Face23SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-BoLT-RL Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-BoLT-RL.tabulartext-generation10K<n<100K0 likes16 downloads10mo agoHugging Face24SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-SFT Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-SFT.tabulartext-generation10K<n<100K0 likes14 downloads10mo agoHugging Face25SkillFactory /EVAL-cd3args-Qwen2.5-7B-Instruct Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-7B-Instruct.tabulartext-generation10K<n<100K0 likes13 downloads10mo agoHugging Face26SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-RL Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-RL.tabulartext-generation10K<n<100K0 likes12 downloads10mo agoHugging Face27SkillFactory /EVAL-cd3args-Qwen2.5-7B-Instruct-SkillFactory-SFT Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-7B-Instruct-SkillFactory-SFT.tabulartext-generation10K<n<100K0 likes11 downloads10mo agoHugging Face28SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-BoLT-SFT Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-BoLT-SFT.tabulartext-generation10K<n<100K0 likes10 downloads10mo agoHugging Face29SkillFactory /EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-RL Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt we will feed into the model to solve the question model_responses An array of strings that the model generated to answer the prompt (usually size of 4 or 34 depending on the evaluation task) model_responses__eval_is_correct An array aligned with model_responses containing booleans: True when… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-RL.tabulartext-generation10K<n<100K0 likes10 downloads10mo agoHugging Face30SkillFactory /BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-SFTThese datasets are exactly like the Evaluation datasets except the model_responses array are budget forcing rounds. So the first response is at a maximum total context length of 4k, the second response (2nd index in the array) is a continuation of that last response up to a total of 8,192 tokens. Column Details Column Description question The question we want the model to answer answer The string answer task The name of the task the row belongs to prompt The prompt… See the full description on the dataset page: https://huggingface.co/datasets/SkillFactory/BF_EVAL-cd3args-Qwen2.5-1.5B-Instruct-R1-SFT.tabulartext-generation10K<n<100K0 likes9 downloads10mo agoHugging Face

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