CoolFace
30 shown

datasets

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
formatAllParquetJSONCSVWebDataset
sortTrendingMost likedMost usedRecently updatedNewest
Clear all
01rl-rag /hle-gpt-oss-120b-no-python-260222 hle-gpt-oss-120b-no-python-260222 Deep research agent evaluation on rl-rag/hle_text_only (test split). Results Metric Value pass@4 47.9% avg@4 26.6% Trajectory accuracy 26.6% (2292/8632) Questions 2158 Trajectories 8632 (4 per question) Avg tool calls 14.5 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-no-python-260222.tabular1K<n<10K1 likes6.6k downloads7mo agoHugging Face02galileo-ai /ragbench RAGBench Dataset Overview RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples. It covers five unique industry-specific domains and various RAG task types. RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications. RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits Usage from datasets import load_dataset # load… See the full description on the dataset page: https://huggingface.co/datasets/galileo-ai/ragbench.tabular10K<n<100K135 likes3.7k downloads2y agoHugging Face03rag-datasets /rag-mini-wikipediaIn this huggingface discussion you can share what you used the dataset for. Derives from https://www.kaggle.com/datasets/rtatman/questionanswer-dataset?resource=download we generated our own subset using generate.py. textquestion-answering1K<n<10K56 likes3.5k downloads2y agoHugging Face04Shanmuk4622 /jeb-rag JEB-Bench Charging the Gate Rent: Measured-Energy Accounting for Adaptive Retrieval-Augmented Generation ⚠️ Status: under construction. Phase 0 (measurement validation) and Phase 1 (index construction) are landing now. The oracle matrix (bench/oracle/) is populated in Phase 2 and this card will be revised when it is complete. Do not cite numbers from this repository until the status line says complete. What this is The first public per-query × per-configuration… See the full description on the dataset page: https://huggingface.co/datasets/Shanmuk4622/jeb-rag.tabularquestion-answering10K<n<100K2 likes2.5k downloads1mo agoHugging Face05ragrawal36 /multihop_qatext1M<n<10M1 likes2.3k downloads6mo agoHugging Face06ragrawal36 /nemotron-cc-v21-Parsed-QA4-Summarization-Qwen3-1.7Btext1M<n<10M0 likes2k downloads7mo agoHugging Face07wandb /RAGTruth-processed RAGTruth Dataset Dataset Description Dataset Summary The RAGTruth dataset is designed for evaluating hallucinations in text generation models, particularly in retrieval-augmented generation (RAG) contexts. It contains examples of model outputs along with expert annotations indicating whether the outputs contain hallucinations. Dataset Structure Each example contains: A query/question Context passages Model output Hallucination labels (evident… See the full description on the dataset page: https://huggingface.co/datasets/wandb/RAGTruth-processed.text10K<n<100K30 likes1.9k downloads2y agoHugging Face08rl-rag /browsecomp-gpt-oss-120b-260222 browsecomp-gpt-oss-120b-260222 Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 46.8% avg@4 23.9% Trajectory accuracy 23.9% (1211/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 26.1 Full conversations ✅ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool Usage… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-gpt-oss-120b-260222.tabular1K<n<10K0 likes1.8k downloads7mo agoHugging Face09rl-rag /browsecomp-no-scroll-gpt-oss-120b browsecomp-no-scroll-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 46.0% avg@4 22.9% Trajectory accuracy 22.9% (1160/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 27.0 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-no-scroll-gpt-oss-120b.tabular1K<n<10K0 likes1.5k downloads7mo agoHugging Face10neural-bridge /rag-dataset-12000 Retrieval-Augmented Generation (RAG) Dataset 12000 Retrieval-Augmented Generation (RAG) Dataset 12000 is an English dataset designed for RAG-optimized models, built by Neural Bridge AI, and released under Apache license 2.0. Dataset Description Dataset Summary Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by allowing them to consult an external authoritative knowledge base before generating responses. This approach significantly… See the full description on the dataset page: https://huggingface.co/datasets/neural-bridge/rag-dataset-12000.textquestion-answering10K<n<100K172 likes1.5k downloads3y agoHugging Face11lightblue /rag_multilingual_training_negatives How this dataset was made We trained on chunks sourced from the documents in MADLAD-400 dataset that had been evaluated to contain a higher amount of educational information according to a state-of-the-art LLM. We took chunks of size 250 tokens, 500 tokens, and 1000 tokens randomly for each document. We then used these chunks to generate questions and answers based on this text using a state-of-the-art LLM. Finally, we selected negatives for each chunk using the similarity from the… See the full description on the dataset page: https://huggingface.co/datasets/lightblue/rag_multilingual_training_negatives.tabular100K<n<1M3 likes1.4k downloads2y agoHugging Face12ragrawal36 /multihop_qa_sfttext1M<n<10M2 likes1.4k downloads5mo agoHugging Face13rl-rag /browsecomp-high-effort-gpt-oss-120b browsecomp-high-effort-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 44.1% avg@4 22.9% Trajectory accuracy 22.9% (1158/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 55.4 Full conversations ❌ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 100 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-gpt-oss-120b.tabular1K<n<10K0 likes1.2k downloads7mo agoHugging Face14rl-rag /hle_text_onlyimage1K<n<10K0 likes1.1k downloads7mo agoHugging Face15ragrawal36 /multihop_qa_sft_doc4096_seq1024_v2text1M<n<10M0 likes1k downloads19d agoHugging Face16jenhsia /raggedtext100M<n<1B2 likes964 downloads3y agoHugging Face17rag-datasets /rag-mini-bioasqSee here for an updated version without nans in text-corpus. In this huggingface discussion you can share what you used the dataset for. Derives from http://participants-area.bioasq.org/Tasks/11b/trainingDataset/ we generated our own subset using generate.py. textquestion-answering10K<n<100K41 likes789 downloads2y agoHugging Face18F4biian /RAGognize RAGognize Dataset Card Resource Link Code Paper Demo In Retrieval-Augmented Generation (RAG), ensuring accuracy and reliability is essential. RAGognize is a dataset created to help researchers and developers study and improve how AI systems use retrieved information. By offering structured examples and natural token-level closed-domain hallucination annotations, it provides a resource for analyzing model behavior and developing methods that might help make RAG… See the full description on the dataset page: https://huggingface.co/datasets/F4biian/RAGognize.textquestion-answering1K<n<10K0 likes721 downloads5mo agoHugging Face19rl-rag /browsecomp-qwen35-35b-a3b-think browsecomp-qwen35-35b-a3b-think Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@4 43.0% avg@4 24.8% Trajectory accuracy 24.8% (1258/5064) Questions 1266 Trajectories 5064 (4 per question) Avg tool calls 41.1 Full conversations ❌ Model & Setup Model Qwen3.5-35B-A3B Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domains huggingface.co Tool… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-qwen35-35b-a3b-think.tabular1K<n<10K0 likes668 downloads7mo agoHugging Face20jinulee-v /expert-rag-benchmarks Expert RAG Benchmarks A unified collection of four expert-level legal RAG benchmarks, exposed as six named splits and three relational configurations: questions, documents, and qrels. The KCL split is named kcl_essay because Hugging Face split identifiers do not permit hyphens; its source name remains kcl-essay. Loading from datasets import load_dataset repo_id = "jinulee-v/expert-rag-benchmarks" questions = load_dataset(repo_id, "questions", split="housing")… See the full description on the dataset page: https://huggingface.co/datasets/jinulee-v/expert-rag-benchmarks.textquestion-answering1M<n<10M0 likes627 downloads4d agoHugging Face21wandb /ragbench-sentence-relevance-balancedtext100K<n<1M1 likes563 downloads2y agoHugging Face22rl-rag /hle-gpt-oss-120b-with-python-260222 hle-gpt-oss-120b-with-python-260222 Deep research agent evaluation on unknown. Results Metric Value pass@4 39.5% avg@4 17.5% Trajectory accuracy 17.4% (1860/10660) Questions 1350 Trajectories 10660 (4 per question) Avg tool calls 0.0 Full conversations ❌ Model & Setup Model unknown Judge gpt-4o Max tool calls 50 Temperature 0.7 Blocked domainsNone Tool Usage Tool Calls %… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/hle-gpt-oss-120b-with-python-260222.tabular10K<n<100K0 likes521 downloads7mo agoHugging Face23racineai /VDR_ibm-research_REAL-MM-RAG VDR_ibm-research_REAL-MM-RAG - Overview Dataset Summary VDR_ibm-research_REAL-MM-RAG is a multimodal dataset that combines text and image data, and support tasks such as DSE retrieval (RAG). Dataset Creation This dataset is a merge and shuffle of the following datasets in the VDR format: ibm-research/REAL-MM-RAG_TechSlides ibm-research/REAL-MM-RAG_TechReport ibm-research/REAL-MM-RAG_FinTabTrainSet ibm-research/REAL-MM-RAG_FinTabTrainSet_rephrased… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_ibm-research_REAL-MM-RAG.imagevisual-document-retrieval100K<n<1M8 likes509 downloads10mo agoHugging Face24enelpol /rag-mini-bioasqThis dataset is a subset of a training dataset by the BioASQ Challenge, which is available here. It is derived from rag-datasets/rag-mini-bioasq. Modifications include: filling in missing passages (some of them contained "nan" instead of actual text), changing relevant_passage_ids' type from string to sequence of ints, deduplicating the passages (removed 40 duplicates) and fixing the relevant_passage_ids in QAP triplets to point to the corrected, deduplicated passages' ids, splitting QAP… See the full description on the dataset page: https://huggingface.co/datasets/enelpol/rag-mini-bioasq.textquestion-answering10K<n<100K16 likes508 downloads2y agoHugging Face25deepsense-ai /synthetic-rag-dataset_v1.0textn<1K0 likes506 downloads1y agoHugging Face26rl-rag /browsecomp-high-effort-full-gpt-oss-120b browsecomp-high-effort-full-gpt-oss-120b Deep research agent evaluation on data/browsecomp.jsonl (normal split). Results Metric Value pass@1 20.9% avg@1 20.9% Trajectory accuracy 20.9% (264/1266) Questions 1266 Trajectories 1266 (1 per question) Avg tool calls 52.9 Full conversations ✅ Model & Setup Model gpt-oss-120b Judge gpt-4o Max tool calls 100 Temperature 0.7 Blocked domains huggingface.co… See the full description on the dataset page: https://huggingface.co/datasets/rl-rag/browsecomp-high-effort-full-gpt-oss-120b.tabular1K<n<10K0 likes506 downloads6mo agoHugging Face27ValerianFourel /ragdag-results RAGDAG results Artefacts from RAGDAG - treating a multi-stage retrieval pipeline as a structural causal model and computing path-specific effects exactly by freezing stages, rather than estimating them. Code: https://github.com/ValerianFourel/RAGDAG Layout One directory per collection, named after its ir_datasets id: <dataset-tag>/ REPORT.md human-readable report incl. the PASS/FAIL verdict MANIFEST.json provenance: git SHA, code… See the full description on the dataset page: https://huggingface.co/datasets/ValerianFourel/ragdag-results.image1M<n<10M0 likes504 downloads2mo agoHugging Face28bowang0911 /legal-rag-qa License & Attribution MTEB-format derivative of isaacus/legal-rag-qa by Isaacus, itself derived from the Introduction to Criminal Law textbook. Licensed under CC BY-NC-SA-3.0 (same as source); non-commercial, attribution required, ShareAlike. texttext-retrievaln<1K0 likes492 downloads3mo agoHugging Face29wuc1 /full-fold-the-rag-parquet-merged0222tabular100K<n<1M0 likes480 downloads7mo agoHugging Face30raghavendrad60 /vqa_plant-disease-classification-merged-datasetimage10K<n<100K1 likes474 downloads2y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.