{"data":{"slug":"ahammadmejbah-awesome-datasets-hub","name":"Awesome-Datasets-Hub","tagline":"A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.","github_url":"https://github.com/ahammadmejbah/Awesome-Datasets-Hub","owner":"ahammadmejbah","repo":"Awesome-Datasets-Hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/56669333?v=4","primary_language":null,"stars":146,"forks":39,"topics":["benchmark","benchmarking","deep-learning","deep-neural-networks","deeplearning","genetic-algorithm","llm","llm-evaluation","llm-inference","machine-learning","machine-learning-algorithms","machinelearning","neural-network"],"archived":false,"github_pushed_at":"2026-06-20T07:06:51+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/ahammadmejbah-awesome-datasets-hub","markdown_url":"https://www.graphcanon.com/tools/ahammadmejbah-awesome-datasets-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ahammadmejbah-awesome-datasets-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ahammadmejbah-awesome-datasets-hub","description":"A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.","homepage_url":"https://intelligenceacademy.ai/datasets","license":null,"open_issues":0,"watchers":1,"ai_summary":null,"readme_excerpt":"<img src=\"https://github.com/ahammadmejbah/Awesome-LLM-Datasets/blob/main/Banner.jpeg\" class=\"center-img\" alt=\"Description\">\n\n<p align=\"center\">\n  <a href=\"mailto:ahammadmejbah@gmail.com\"><img src=\"https://img.shields.io/badge/Email-ahammadmejbah%40gmail.com-blue?style=flat-square&logo=gmail\"></a>\n  <a href=\"https://github.com/ahammadmejbah\"><img src=\"https://img.shields.io/badge/GitHub-%40ahammadmejbah-lightgrey?style=flat-square&logo=github\"></a>\n  <a href=\"https://linkedin.com/in/ahammadmejbah\"><img src=\"https://img.shields.io/badge/LinkedIn-Mejbah%20Ahammad-blue?style=flat-square&logo=linkedin\"></a>\n  <a href=\"https://intelligenceacademy.ai\"><img src=\"https://img.shields.io/badge/Website-Intelligence%20of%20Academy-lightgrey?style=flat-square&logo=google-chrome\"></a>\n  <a href=\"https://www.youtube.com/@IntelligenceAcademy\"><img src=\"https://img.shields.io/badge/YouTube-IntelligenceAcademy-red?style=flat-square&logo=youtube\"></a>\n  <a href=\"https://www.researchgate.net/profile/Mejbah-Ahammad-2\"><img src=\"https://img.shields.io/badge/ResearchGate-Mejbah%20Ahammad-blue?style=flat-square&logo=researchgate\"></a>\n  <br>\n  <img src=\"https://img.shields.io/badge/Phone-%2B8801874603631-green?style=flat-square&logo=whatsapp\">\n  <a href=\"https://www.hackerrank.com/profile/ahammadmejbah\"><img src=\"https://img.shields.io/badge/Hackerrank-ahammadmejbah-green?style=flat-square&logo=hackerrank\"></a>\n\n</p>\n\n<div align=\"center\">\n\n## ⚡ Medical Datasets for LLM\n| Serial | Dataset | Domain | Field / Task | Scale | Strength | Language | License |\n|---|---|---|---|---|---|---|---|\n| **01** | [**MedQA (USMLE)**](https://github.com/jind11/MedQA) <br><sub>Jin et al. · 2021</sub> |  | Medical QA · Licensing Exam | **12,723 Q** |  |  |  |\n| **02** | [**MedMCQA**](https://medmcqa.github.io) <br><sub>Pal et al. · 2022</sub> |  | Medical MCQ · Indian Licensing | **194K Q** |  |  |  |\n| **03** | [**PubMedQA**](https://pubmedqa.github.io) <br><sub>Jin et al. · 2019</sub> |  | Biomedical QA · Yes/No/Maybe | **273K QA** |  |  |  |\n| **04** | [**BioASQ**](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1703-7) <br><sub>Tsatsaronis et al.</sub> |  | Biomedical QA · Semantic Indexing | **5,600+ Q** |  |  |  |\n| **05** | [**MASH-QA**](https://github.com/mingzhu0527/MASHQA) |  | Healthcare QA · Multi-span | **35K QA** |  |  |  |\n| **06** | [**MedQuAD**](https://github.com/abachaa/MedQuAD) |  | Consumer Medical QA | **47K QA** |  |  |  |\n| **07** | [**LiveQA Medical**](https://github.com/abachaa/LiveQA_MedicalTask_TREC2017) |  | Consumer Health QA | **634 Q** |  |  |  |\n| **08** | [**MedS-Bench**](https://henrychur.github.io/MedS-Bench/) |  | Clinical Evaluation | **13 tasks** |  |  |  |\n| **09** | [**COVID-QA**](https://huggingface.co/datasets/deepset/covid_qa_deepset) |  | COVID-19 Reading QA | **2,019 QA** |  |  |  |\n| **10** | [**MIMIC-III**](https://physionet.org/content/mimiciii/) |  | ICU EHR + Clinical Notes | **46K patients** |  |  |  |\n| **11** | [**MIMIC-IV**](https://physionet.org/content/mimiciv/) |  | Hospital EHR Records | **299K patients** |  |  |  |\n| **12** | [**n2c2 / i2b2 Challenges**](https://n2c2.dbmi.hms.harvard.edu) |  | Clinical NLP Challenges | **Multi-year** |  |  |  |\n| **13** | [**MedNLI**](https://physionet.org/content/mednli/) |  | Clinical Textual Entailment | **14K pairs** |  |  |  |\n| **14** | [**emrQA**](https://huggingface.co/datasets/bigbio/emrqa) |  | Clinical QA over EHR | **1M+ QA** |  |  |  |\n| **15** | [**MTSamples**](https://mtsamples.com) |  | Clinical Transcription Notes | **5K+ reports** |  |  |  |\n| **16** | [**EHRNoteQA**](https://physionet.org/content/ehrnoteqa/) <br><sub>PhysioNet · 2023</sub> |  | Clinical Note Question Answering | **2.4K QA** |  |  |  |\n| **17** | [**Asclepius**](https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes) <br><sub>STAR-MPCC · 2023</sub> |  | Synthetic Clinical Notes | **158K Notes** |  |  |  |\n| **18** | [**GatorTron Corpus**](https://arx","github_created_at":"2026-05-15T14:58:14+00:00","created_at":"2026-07-11T12:02:19.399398+00:00","updated_at":"2026-07-11T17:45:41.767559+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"benchmark","name":"benchmark"},{"slug":"benchmarking","name":"benchmarking"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"deep-neural-networks","name":"deep-neural-networks"},{"slug":"deeplearning","name":"deeplearning"},{"slug":"genetic-algorithm","name":"genetic-algorithm"},{"slug":"llm","name":"llm"},{"slug":"llm-evaluation","name":"llm-evaluation"}],"trust":{"provenance":{"is_fork":false,"github_id":1239898419,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:02:20.406Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":21,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:02:21.507Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:02:21.275Z"}}}}