datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
india-index-options-1m
India Index & Options - 1-minute OHLC
1-minute OHLCV(+OI) bars for NSE/BSE index spot and option chains: NIFTY, BANKNIFTY, SENSEX (~2021-2026).
Powers the open-source TradeMarkk backtester (https://thetrademarkk.com).
Educational use only. Provided as-is, no warranty. Verify against official exchange data before relying on it.
Structure
index/{SYMBOL}.parquet - 1-min spot OHLC per index.
options/{SYMBOL}/{EXPIRY}.parquet - 1-min OHLC per option contract (with… See the full description on the dataset page: https://huggingface.co/datasets/thetrademarkk/india-index-options-1m.alpaca-options-datacrypto-options-surface
Crypto options surface and order books
Snapshots of listed options on Aevo, including marks, implied volatility, Greeks and a selected set of order books. The tables support analysis of volatility surfaces and the relationship between published marks and quoted prices.
Contents
Table
Record
options_surface
An instrument's strike, expiry, mark, forward, implied volatility and Greeks
options_order_book
Best bid and ask, available sizes and quoted… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-options-surface.nse-options-intraday
NSE Options Historical Data
Historical Indian index-options data (NIFTY, BANKNIFTY, SENSEX) for backtesting,
in a single canonical Parquet schema. Assembled from NSE F&O bhavcopy (daily EOD,
2001→present) and Upstox 1-minute intraday candles (2024→present).
Coverage
Track
Underlyings
Granularity
Range
upstox_intraday/
NIFTY, BANKNIFTY, SENSEX
1 minute
Oct 2024 → 2026 (BANKNIFTY from Mar 2024)
historical_daily/
NIFTY (2001→), BANKNIFTY (2005→)
1 day… See the full description on the dataset page: https://huggingface.co/datasets/rissin/nse-options-intraday.MedQA-USMLE-4-options-hfnifty-options-datagbaker_medqa_usmle_4_options_hf_generic_to_brandindia-index-options-1m
India Index & Options - 1-minute OHLC
1-minute OHLCV(+OI) bars for NSE/BSE index spot and option chains: NIFTY, BANKNIFTY, SENSEX (~2021-2026).
Powers the open-source TradeMarkk backtester (https://thetrademarkk.com).
Educational use only. Provided as-is, no warranty. Verify against official exchange data before relying on it.
Structure
index/{SYMBOL}.parquet - 1-min spot OHLC per index.
options/{SYMBOL}/{EXPIRY}.parquet - 1-min OHLC per option contract (with… See the full description on the dataset page: https://huggingface.co/datasets/codepyx23/india-index-options-1m.gbaker_medqa_usmle_4_options_hf_originalmedmcqa_train_translated_es_with_chunks_es_kb_None_7000_dense_with_options_reformatted_contextoptionsmedqa-usmle-4-options
MedQA USMLE Four Options (Parquet)
This repository provides the English USMLE four-option subset of
bigbio/med_qa as one
Parquet file: medqa_usmle_4_options.parquet.
It contains 12,723 multiple-choice questions. The original data partitions are
preserved in the split column:
Split
Rows
train
10,178
dev
1,272
test
1,273
Schema
question: exam question text
options: mapping of answer labels A–D to option text
answer_idx: correct answer label… See the full description on the dataset page: https://huggingface.co/datasets/ssswwwxxx/medqa-usmle-4-options.gbaker_medqa_usmle_4_options_hf_brand_to_genericMedQA-USMLE-4-options-hf-MPNet-IR
Dataset Card for "MedQA-USMLE-4-options-hf-MPNet-IR"
More Information needed
mathvision_with_solutions_qwen_2b_optionsMedQA-USMLE-4-options-clean
MedQA-USMLE-4-options-clean Dataset
Overview
MedQA-USMLE-4-options-clean is an enhanced medical question-answering benchmark that builds upon the MedQA-USMLE dataset. Physicians analyzed the 1373 questions in the original dataset and moved 52 questions that were either malformed or incomplete to another split incomplete.
Key Features
Relabeled malformed/incorrect questions
Dataset Details
Size: 1373
Language: English
Data Source… See the full description on the dataset page: https://huggingface.co/datasets/maximegmd/MedQA-USMLE-4-options-clean.GBaker-MedQA-USMLE-4-options-Koreanmmlu-5-options-rl-ready
MMLU – 5-Options RL-Ready
A standardized, RL-friendly remix of MMLU with explicit negatives and a unified five-option presentation string for each question. Ideal for DPO and other RL setups while remaining drop-in for classic multiple-choice evaluation.
What’s inside
Splits & size: ~97.8k train + 2k test ≈ 99.8k total.
Schema (core fields):
question: str
choices: list[str] (canonical options, typically 4 as in original MMLU)
answer: int (0-based index)
task: str… See the full description on the dataset page: https://huggingface.co/datasets/openmed-community/mmlu-5-options-rl-ready.MedQA-USMLE-4-options-hf-DBPedia-context
Dataset Card for "MedQA-USMLE-4-options-hf-DBPedia-context"
More Information needed
trivia_single_choice-4-optionsMedQA-USMLE-4-options-hf-DBPedia-context
Dataset Card for "MedQA-USMLE-4-options-hf-DBPedia-context"
More Information needed
place_cup_three_optionsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "panda",
"total_episodes": 45,
"total_frames": 3426,
"total_tasks": 45,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:45"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/miyen/place_cup_three_options.MedQA-USMLE-4-options_preprocess
MedQA-USMLE Preprocessed Dataset
This dataset is a preprocessed version of GBaker/MedQA-USMLE-4-options.
The data has been formatted into a question and answer structure suitable for training or evaluating instruction-following language models.
Data Structure
question: The original medical question combined with the four multiple-choice options.
answer: The correct answer index, prefixed with ####.
Example
Question:
A 60-year-old woman comes to the emergency… See the full description on the dataset page: https://huggingface.co/datasets/LLMcompe-Team-Watanabe/MedQA-USMLE-4-options_preprocess.gbaker_medqa_usmle_4_optionsopen_gate_individual_optionsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "lekiwi_client",
"total_episodes": 2,
"total_frames": 1316,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 120,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/oscarz511/open_gate_individual_options.fr-medqa-5_optionsstreaming_options_xtts_v2logiqa-test-3-optionsmmmu_pro_4_optionsagieval-aqua-rat-3-options