datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Crypto-L2-Orderbook-Depth-24-Instruments
license: cc-by-4.0
task_categories:
time-series-forecasting
reinforcement-learning
📈 Hyperliquid Crypto L2 Orderbook Depth - 24 Instruments (Free Sample)
⚠️ NOTE: This is a 7-day FREE SAMPLE dataset. > For the full institutional-grade dataset featuring 12+ months of continuous history (~2.3 Million rows) for 24 crypto assets, visit ImbalanceLabs.com.
Dataset Summary
Standard OHLCV candles are a "liquidity illusion." They hide the true market intent, spread, spoofing… See the full description on the dataset page: https://huggingface.co/datasets/AdamAtractor/Crypto-L2-Orderbook-Depth-24-Instruments.musical-instrumentssurgical-instruments-pick-placeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/sajibpra/surgical-instruments-pick-place.musical-instruments-sound-datasetmongolian_instruments_dataset
Mongolian Traditional Instruments Dataset for Music Source Separation
Diploma project: Music Source Separation Using Deep Learning: A Study on Modern and Mongolian Traditional Instruments
Бүтэц
raw/ — YouTube-аас татсан түүхий аудио (4 зэмсэг)
morin_khuur/ — 719 wav (морин хуур)
yatga/ — 511 wav (ятга)
limbe/ — 643 wav (лимбэ)
tovshuur/ — 484 wav (товшуур)
clean_morin_khuur_v2/ — Audio QC v2 pipeline-аар цэвэр solo морин хуур сегмент (~1 GB)
synth_dataset/ — Synthetic… See the full description on the dataset page: https://huggingface.co/datasets/Tuugu/mongolian_instruments_dataset.Benchmark-Instrumentsseparate_instruments_from_tray_combo_3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/aboardman/separate_instruments_from_tray_combo_3.musical-instruments-id-overlap-reward-20260923-v1
Musical Instruments ID-overlap reward supervision, 2026-09-23 v1
14,000 positive rows (two randomly sampled distinct title orderings for each of 7,000 queries) and 22,513 usable unique negative rows: 36,513 labeled training rows. Positive selection uses Python Random seed 20260923, sorted query IDs, sampling two of four existing permutations without replacement. All original rows and selected indices are preserved. No generated negatives are replicated or replenished to force… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-id-overlap-reward-20260923-v1.FTT_Musical_Instruments_trainInstrumentSoundDataset1InstrumentSoundDataset3InstrumentSoundDataset5InstrumentSoundDataset2InstrumentSoundDataset4NS-Instruments
NS-Instruments
This is an audio classification dataset for Music Instruments Classification.
Classes = 10 , Split = Train-Test
Structure
audios folder contains audio files.
train.csv for training split and test.csv for the testing split.
Download
import os
import zipfile
import shutil
import huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given… See the full description on the dataset page: https://huggingface.co/datasets/MahiA/NS-Instruments.InstrumentSoundDatasetUnshuffledcode-instruments-monetaires-medailles
Code des instruments monétaires et des médailles, non-instruct (2025-09-20)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-instruments-monetaires-medailles.musical-instruments-sound-datasetThis is a processed dataset from this Kaggle dataset.
I've processed to hugging face format, added a validation split and, also fixed a couple of wrong labels that were present on the original dataset.
record-50-seperate_instruments_7.1_20260812_121207This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/aboardman/record-50-seperate_instruments_7.1_20260812_121207.FTT_Musical_Instruments_interactionstraditional-nepali-instruments
traditional-nepali-instruments
Mirror of the exact bmcore v24 local holdout subset: 1982 audio files.
Benchmark label: real. This preserves the source benchmark label; it is not an independent label review.
Source reference: https://huggingface.co/datasets/34data/v13-traditional-nepali-instruments.
No new license or ownership claim is asserted by this mirror. Original source rights and restrictions remain applicable.
Source revision reviewed:… See the full description on the dataset page: https://huggingface.co/datasets/34data/traditional-nepali-instruments.persian-traditional-instruments-tinypick-and-hang-instrumentsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so101_follower",
"total_episodes": 30,
"total_frames": 10129,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:30"
},
"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/msmandelbrot/pick-and-hang-instruments.musical-instruments-ranker-unseen-20260923
Musical Instruments ranker data unseen by selected SFT checkpoint
All 2,217 positive examples not consumed by SFT checkpoint 420 are preserved in unseen_positives.jsonl. Twenty rows repeat a positive product set already seen by that checkpoint and are quarantined, leaving 2,197 eligible positives. These are exact query/set exclusions, not product-level or user-level independence.
Training/validation/test are grouped roughly 75%/12.5%/12.5%; eval means validation. Each positive… See the full description on the dataset page: https://huggingface.co/datasets/flavianv/musical-instruments-ranker-unseen-20260923.so101_lift_instruments_sim_1.2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 5,
"total_frames": 61,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:5"
},
"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/aboardman/so101_lift_instruments_sim_1.2.record-50-seperate_instruments_8.2_20260812_175412This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 10,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/charlieK123/record-50-seperate_instruments_8.2_20260812_175412.rollout_eval_instruments_3_20260616_170429This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/aboardman/rollout_eval_instruments_3_20260616_170429.amazon-musical-instruments-2018-2023-5core
Amazon Musical Instruments — 5-Core Sampled Dataset (2018-2023)
Sampled subset of Amazon Reviews 2023 Musical Instruments category, created for a Data Mining course recommendation system project.
Sampling Strategy
Time filter: 2018-01-01 to 2023-09-12
Iterative 5-core filtering: Both users and items have at least 5 interactions (iteratively until stable)
Cold-start test set: 5000 users with 1-2 reviews held out for cold-start evaluation
Random seed: 42… See the full description on the dataset page: https://huggingface.co/datasets/oyku-tugana/amazon-musical-instruments-2018-2023-5core.record-50-seperate_instruments_2.2_20260617_114556This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/aboardman/record-50-seperate_instruments_2.2_20260617_114556.rollout_eval_instruments_2_20260616_112226This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/aboardman/rollout_eval_instruments_2_20260616_112226.