datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dataset-test-1hindi_audio_dataset_testtest-datachain-llm-evalW_LSTMix_test_datasetsmart-turn-data-v3.2-testTesting dataset for Smart Turn v3.2.
Thank you to the following contributors whose audio samples are included in this dataset:
The Pipecat team
Liva AI: https://www.theliva.ai/
Midcentury: https://www.midcentury.xyz/
MundoAI: https://mundoai.world/
Also, thank you to the following people for the CC-0 background noise sample data which has been used in this dataset:
https://freesound.org/people/4team/sounds/214995/
https://freesound.org/people/tomhannen/sounds/698090/… See the full description on the dataset page: https://huggingface.co/datasets/pipecat-ai/smart-turn-data-v3.2-test.external_data_test_exampleimage-matching-test-datasetffv4_dataset_testthis is a testing dataset for future model testing. you should not use this (yet)
there are multiple datasets,
notebook_defaults
notebook_defaults_ratio0.8_likes10
you can load each like this:
import datasets
# see FFV4.BUILDER_CONFIGS for all possible names
ds = datasets.load_dataset('./dataset_code.py', name='notebook_defaults_ratio0.8_likes10')
then use them like this
ds_real = ds['everything'] # there is no such thing as a train/test split here
one_item = ds_real[0] # grab first story… See the full description on the dataset page: https://huggingface.co/datasets/main-horse/ffv4_dataset_test.IUXray-Data-Train-TestBread-chatbot-dataset-test
Dataset Card for "Bread-chatbot-dataset-test"
More Information needed
test-big-dataset
Dataset Card for Danish WIT
Dataset Summary
Google presented the Wikipedia Image Text (WIT) dataset in July
2021, a dataset which contains
scraped images from Wikipedia along with their descriptions. WikiMedia released
WIT-Base in September
2021,
being a modified version of WIT where they have removed the images with empty
"reference descriptions", as well as removing images where a person's face covers more
than 10% of the image surface, along with inappropriate images… See the full description on the dataset page: https://huggingface.co/datasets/huggingface/test-big-dataset.audio_test_dataset
Dataset Card for "audio_test_dataset"
This dataset consists of the first 5 samples of mozilla-foundation/common_voice_13_0 and is only used for unit testing.
lerobot-testdata
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "agilex",
"total_episodes": 503,
"total_frames": 462517,
"total_tasks": 1,
"total_videos": 1509,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:503"
},
"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/yelanye/lerobot-testdata.test_dataset
test_dataset
This dataset was generated using a phospho starter pack.
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
smart-product-pricing-2025_test_dataprocessed_sroie_donut_dataset_train_test_split
Dataset Card for "processed_sroie_donut_dataset_train_test_split"
More Information needed
test_shards_datasettest-dataset-9
Breakpoint Grounding 55M
Quick start
from datasets import load_dataset
ds = load_dataset("BreakpointAI/breakpoint-grounding-55m", split="train")
ds[0] # {'image': <PIL.Image>, 'image_caption': ..., 'object_captions': [...], 'normalized_boxes': [...], 'img_size_wh': [...]}
Dataset summary
Breakpoint Grounding 55M is, to our knowledge, the largest instance-grounded image–text dataset
released publicly. Every image comes with an image-level caption… See the full description on the dataset page: https://huggingface.co/datasets/BreakpointAI/test-dataset-9.test-dataset-8
Breakpoint Grounding 55M
Quick start
from datasets import load_dataset
ds = load_dataset("BreakpointAI/breakpoint-grounding-55m", split="train")
ds[0] # {'image': <PIL.Image>, 'image_caption': ..., 'object_captions': [...], 'normalized_boxes': [...], 'img_size_wh': [...]}
Dataset summary
Breakpoint Grounding 55M is, to our knowledge, the largest instance-grounded image–text dataset
released publicly. Every image comes with an image-level caption… See the full description on the dataset page: https://huggingface.co/datasets/BreakpointAI/test-dataset-8.test_datasetbimanual-piper-dataset-threecam-test-10This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_piper",
"total_episodes": 1,
"total_frames": 2817,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"},
"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/HCHoongChing/bimanual-piper-dataset-threecam-test-10.bimanual-piper-dataset-threecam-test-11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_piper",
"total_episodes": 3,
"total_frames": 10691,
"total_tasks": 1,
"total_videos": 9,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"},
"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/HCHoongChing/bimanual-piper-dataset-threecam-test-11.pi06star_data_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 102,
"total_frames": 54916,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:102"
},
"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/FrozenAngel/pi06star_data_test.smart-turn-data-v3.1-testTesting dataset for Smart Turn v3.1.
Thank you to the following contributors whose audio samples are included in this dataset:
The Pipecat team
Liva AI: https://www.theliva.ai/
Midcentury: https://www.midcentury.xyz/
MundoAI: https://mundoai.world/
dataset_test_disaggregated_nli
Dataset Card for "dataset_test_disaggregated_nli"
Dataset for testing a universal classifier. Additional information and training code available here: https://github.com/MoritzLaurer/zeroshot-classifier
bimanual-piper-dataset-threecam-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "bi_piper",
"total_episodes": 1,
"total_frames": 845,
"total_tasks": 1,
"total_videos": 3,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/HCHoongChing/bimanual-piper-dataset-threecam-test.so100_test_FIRST_DATAThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 50,
"total_frames": 31309,
"total_tasks": 1,
"total_videos": 100,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:50"
},
"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/BobBobbson/so100_test_FIRST_DATA.test_export_dataset_to_hub_with_records_True
Dataset Card for test_export_dataset_to_hub_with_records_True
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_export_dataset_to_hub_with_records_True.combined-dataset-streaming-large-testtest_dataset