datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FlashRAG_datasets
⚡FlashRAG: A Python Toolkit for Efficient RAG Research
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art RAG algorithms.
With FlashRAG and provided resources, you can effortlessly reproduce existing SOTA works in the RAG domain or implement your custom RAG processes and components.
For more information, please view our GitHub repo… See the full description on the dataset page: https://huggingface.co/datasets/RUC-NLPIR/FlashRAG_datasets.medical_meadow_medical_flashcards
Dataset Card for Medical Flashcards
Dataset Summary
Medicine as a whole encompasses a wide range of subjects that medical students and graduates must master
in order to practice effectively. This includes a deep understanding of basic medical sciences, clinical knowledge,
and clinical skills. The Anki Medical Curriculum flashcards are created and updated by medical students and cover the
entirety of this curriculum, addressing subjects such as anatomy, physiology… See the full description on the dataset page: https://huggingface.co/datasets/medalpaca/medical_meadow_medical_flashcards.flashfacts
FlashFacts: 13,976 rows of earnings extraction, every one from a real SEC filing
A training corpus for pulling structured financial facts out of an earnings exhibit: the revenue
figure, the period it covers, the units it is reported in, and the year-over-year change. The model
must return exact JSON, and it must return null when the filing does not contain the fact.
What this dataset proves, and how you check it
rows
13,976, and every one is a real… See the full description on the dataset page: https://huggingface.co/datasets/Jainamshahhh/flashfacts.medical-meadow-medical-flashcards
Dataset Card for medical-meadow-medical-flashcards
This dataset originates from the medAlpaca repository.
The medical-meadow-medical-flashcards dataset is specifically used for models training of medical question-answering.
Dataset Details
Dataset Description
Each sample is comprised of three columns: instruction, input and output.
Language(s): English
Dataset Sources
The code from the original repository was adopted to post it here.
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/medical-meadow-medical-flashcards.KrynexAI-Dataset-Flash-Instruction
🧠 KrynexAI Dataset
English | Русский
📌 Overview
KrynexAI Dataset is a high-quality, synthetically expanded collection of 10,000+ instruction-response pairs designed for fine-tuning Large Language Models (LLMs).
The dataset covers a wide range of topics including:
💻 Programming (Python, algorithms, data structures)
🤖 AI & Machine Learning (neural networks, transformers, LLMs)
🔭 Science (physics, cosmology, biology, neuroscience)
🧠 Philosophy & Psychology… See the full description on the dataset page: https://huggingface.co/datasets/KrynexLabs/KrynexAI-Dataset-Flash-Instruction.deepseek-v4-flash-filler-lens-demo
DeepSeek-V4-Flash filler-token lens captures — demo subset
Per-position logit-lens activations and top-k attention recorded from
deepseek-ai/DeepSeek-V4-Flash on a three-product arithmetic task, with and without
filler tokens.
This is the public demo subset (7 captures) of a larger private collection. It exists
so the attention viewer in the accompanying repo runs without special access.
Code, full results and write-up: https://github.com/safwanalbeshti/filler-effect-writeup… See the full description on the dataset page: https://huggingface.co/datasets/SafwanAlbeshti/deepseek-v4-flash-filler-lens-demo.glm-5.3-flash-function-calling
GLM-5.3-Flash Function Calling (synthetic)
A synthetic function-calling dataset generated with zai-org/GLM-5.3-Flash via Hugging Face Inference Providers.
513 examples in 8 domains: weather, calendar, finance, travel, e-commerce, devops, smart home, communication.
Categories: single-turn tool calls, parallel/multiple calls in one turn, multi-turn trajectories with tool results, and no-tool-needed turns.
Format: OpenAI-style — each row has tools (JSON-schema function… See the full description on the dataset page: https://huggingface.co/datasets/Rallex3/glm-5.3-flash-function-calling.flashrag_wiki18_aligned
FlashRAG Multi-hop QA — wiki-18 aligned gold_doc_ids
Multi-hop QA splits from FlashRAG (HotpotQA, MuSiQue, 2WikiMultiHopQA), extended with a per-sample list of paragraph chunk ids in PeterJinGo/wiki-18-corpus that contain the actual supporting evidence. All original FlashRAG fields are preserved verbatim; only one new field is added: metadata.gold_doc_ids: list[str].
Why this dataset exists
FlashRAG's multi-hop QA samples ship gold supervision at the Wikipedia article… See the full description on the dataset page: https://huggingface.co/datasets/minkyungpark/flashrag_wiki18_aligned.med-synth-questions-gemma-3-27b-deepseek-v4-flash
Med Synth Questions (Gemma-3 + DeepSeek V4 Flash)
Synthetic reasoning traces and answers for medical questions from openmed-community/med-synth-questions-gemma-3-27b-it. Each record contains a medical question with SYNTH-style reasoning and a generated answer by DeepSeek V4 Flash.
Dataset Summary
29,148 records (2 dupes + 3,410 incomplete/truncated removed from 32,560 source)
29,148 reasoning turns (99.2% format compliance)
Average 1,591 chars per reasoning trace… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/med-synth-questions-gemma-3-27b-deepseek-v4-flash.medical-meadow-medical-flashcards-splits
Dataset Card for Medical Meadow Medical Flashcards - Fixed Splits
Dataset Summary
This dataset is a reproducible train/validation/test split of
flwrlabs/medical-meadow-medical-flashcards,
an English medical question-answering dataset from the
MedAlpaca project.
The source dataset contains 33,955 flashcards in a single training split. This
version preserves the original rows and columns while assigning every example
to one of three fixed splits using seed 42. No… See the full description on the dataset page: https://huggingface.co/datasets/leandrodevai/medical-meadow-medical-flashcards-splits.safety_sft_data
Safety SFT data (CS-552, Flash McQueenS and The King)
3,250 English safety multiple-choice items across the 7 SafetyBench categories,
used to fine-tune cs-552-2026-Flash-McQueenS-and-TheKing/safety_model (non-thinking SFT).
Categories: Unfairness & Bias (BBQ), Ethics & Morality (ETHICS), Physical Health (SafeText),
Offensiveness (TweetEval) — plus LLM-generated Mental Health, Illegal Activities,
Privacy & Property. Each item: a question with labelled options; the target is a… See the full description on the dataset page: https://huggingface.co/datasets/cs-552-2026-Flash-McQueenS-and-TheKing/safety_sft_data.english-hindi-vocab-flashcardsEducational-Flashcards-for-Global-Learners
1. Educational-Flashcards-for-Global-Learners/README.md
Educational Flashcards Dataset
Overview
A comprehensive collection of 100 educational flashcards covering STEM, humanities, law, arts, and cultural topics. Curated with 70% Indian content, 25% European, and 5% other Asian perspectives to promote diverse knowledge representation.
Dataset Structure
{
"input": "Text description",
"output": {
"type": "flashcards",
"topic": "Subject name"… See the full description on the dataset page: https://huggingface.co/datasets/Srinivasmec26/Educational-Flashcards-for-Global-Learners.medical_meadow_medical_flashcards
Dataset Card for Medical Flashcards
Dataset Summary
Medicine as a whole encompasses a wide range of subjects that medical students and graduates must master
in order to practice effectively. This includes a deep understanding of basic medical sciences, clinical knowledge,
and clinical skills. The Anki Medical Curriculum flashcards are created and updated by medical students and cover the
entirety of this curriculum, addressing subjects such as anatomy, physiology… See the full description on the dataset page: https://huggingface.co/datasets/1jia/medical_meadow_medical_flashcards.