datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
oanda-trading-data
OANDA Trading Data - 10 Year Backfill
Historical forex (FX) candle data collected from OANDA v3 API for machine learning model training.
Dataset Summary
Period: 10 years of historical data
Instruments: EUR_USD, GBP_USD, USD_JPY, AUD_USD, USD_CHF
Granularities: H1 (1-hour candles) - optimized for model training
Total Records: ~310,000 rows (62k rows × 5 instruments)
Format: CSV with OHLCV columns
Data Format
Each CSV file contains:
instrument:… See the full description on the dataset page: https://huggingface.co/datasets/keeprich/oanda-trading-data.R1_keep_source_3_messages_only_final_decontaminatedOpenR1-Math-220k-pruned-keep-0.9-end-start-0.5-correctnessOpenR1-Math-220k-pruned-keep-0.5-end-start-0.5keep-it-simple-multimodal
keep-it-simple-multimodal
A mini, standalone multimodal dataset: image+caption, audio+caption, video+caption, lidar, IMU, and
optimal-control state/action pairs. Companion to keep-it-simple
(text), built to feed KairosPretrainingDataset in kairos.
Structure
One generic schema for every row — no per-modality columns, no fixed shape/dtype assumptions:
Column
Type
Description
modality
string
image_caption | audio_caption | video_caption | lidar | imu |… See the full description on the dataset page: https://huggingface.co/datasets/ffurfaro/keep-it-simple-multimodal.vpt_data_8.0_keep_noopThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 14,
"total_frames": 74356,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:14"},
"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/BarryFutureman/vpt_data_8.0_keep_noop.keep-it-simple
keep-it-simple
Objective: An ultra-minimalist dataset for pre-training tiny language models. The logic relies on bidirectional symmetry (A is B and B is A]) to foster deep semantic understanding. By training the model to predict the "prompt" from the "text" and vice versa, we maximize the utility of every pair.
Data Sources
Simple English Wikipedia: Simplified encyclopedic articles.
Vikidia (FR): Educational content for younger audiences.
OPUS Books (en-fr):… See the full description on the dataset page: https://huggingface.co/datasets/ffurfaro/keep-it-simple.OpenR1-Math-220k-pruned-keep-0.75-end-start-1.0OpenR1-Math-220k-pruned-keep-0.75-end-start-0.5OpenR1-Math-220k-pruned-keep-0.5-end-start-0.5-acc-increamentalOpenR1-Math-220k-pruned-keep-0.2-end-start-0.5-accPMB
PMB: a zero-shot benchmark for music understanding in Persian music
13,544 clips (~20 s, 32 kHz mono MP3) of Persian music with labels for
zero-shot evaluation of audio-language models: genre (7 classes),
musical key (24 classes; also tonic-only and mode-only granularities),
emotion (valence 0–100 + 3-class bins; arousal 3-class), tempo
(4 ordered classes), plus reference captions, Spotify popularity, and
artist/song metadata.
genre
clips
pop
5,449
persian rock
3… See the full description on the dataset page: https://huggingface.co/datasets/keepsolid001/PMB.OpenR1-Math-220k-pruned-keep-0.5-end-start-0.5-add-aimeOpenR1-Math-220k-pruned-keep-0.50-1.00OpenR1-Math-220k-pruned-keep-0.1-end-start-1.0OpenR1-Math-220k-pruned-keep-0.75-end-start-0.5-correctnessOpenR1-Math-220k-pruned-keep-0.4-end-start-1.0OpenR1-Math-220k-pruned-keep-0.4-end-start-0.5-correctnessGeneralThought-195K-pruned-keep-0.5-end-start-0.5-cutoffGeneralThought-195K-pruned-keep-0.5-end-start-0.0-cutoffreviewed-qa-keep-discard-pairsOpenR1-Math-220k-pruned-keep-0.5-end-start-0.5-acc-onlyOpenR1-Math-220k-pruned-keep-0.1-end-start-0.0reviewed-qa-keep-discard-tpriftis-pairsOpenR1-Math-220k-pruned-keep-0.75-end-start-0.0OpenR1-Math-220k-pruned-keep-0.05-end-start-0.5GeneralThought-195K-pruned-keep-0.5-end-start-0.5OpenR1-Math-220k-pruned-keep-0.01-end-start-1.0OpenR1-Math-220k-pruned-keep-0.5-end-start-0.5wiki40b_it_test_1k_instances_processed_keep_title