datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yelp_review_full
Dataset Card for YelpReviewFull
Dataset Summary
The Yelp reviews dataset consists of reviews from Yelp.
It is extracted from the Yelp Dataset Challenge 2015 data.
Supported Tasks and Leaderboards
text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment.
Languages
The reviews were mainly written in english.
Dataset Structure
Data Instances
A… See the full description on the dataset page: https://huggingface.co/datasets/Yelp/yelp_review_full.PromptEval_MMLU_full
MMLU Multi-Prompt Evaluation Data
Overview
This dataset contains the results of a comprehensive evaluation of various Large Language Models (LLMs) using multiple prompt templates on the Massive Multitask Language Understanding (MMLU) benchmark. The data is introduced in
Maia Polo, Felipe, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, and Mikhail Yurochkin. "Efficient multi-prompt evaluation of LLMs."… See the full description on the dataset page: https://huggingface.co/datasets/PromptEval/PromptEval_MMLU_full.aitw-processed-labeled-full
AiTW Processed Full with App Labels
This repository contains a full processed Android in the Wild (AiTW) mirror together with an app-labeled step index, official split assignment by episode_id, major-app statistics, and a ready-to-train Gmail subset.
Why This Exists
AiTW is large and not easy to navigate by app. The original labels contain useful fields such as goal_info, current_activity, and action coordinates, but users often need extra processing before they… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/aitw-processed-labeled-full.icrm-hitek-full-db-mixed
ICMR + HITEK Full DB (Mixed) — Prebuilt Indexes + One-Click Setup
Prebuilt sorted indexes for the Kzr0xx/Icmr-and-hitek dataset (2.5B rows, 11 columns, ~104 GB raw parquet).
Building these indexes took ~17 hours of compute. This repo saves you that work: download + run = API live in ~1-2 hours (download speed dependent).
Contents
The indexes are stored as sorted parts (each < 50 GB, split at row-group boundaries, order preserved) because HuggingFace's classic HTTP… See the full description on the dataset page: https://huggingface.co/datasets/MRSHREY197/icrm-hitek-full-db-mixed.vsi-bench-qa-v3-hm3d-fullICMR-HITEK-FULL-MIXED-DBfree-music-archive-full
FMA: A Dataset for Music Analysis
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson.
International Society for Music Information Retrieval Conference (ISMIR), 2017.
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections. The community's growing interest in feature and end-to-end learning is however restrained… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/free-music-archive-full.beamit-full-texts-dataset
Dataset Card for "beamit-full-texts-dataset"
More Information needed
icrm-hitek-fulldbicrm-hitek-fulldbEO1H-313K-fullpreprocessed_DCAE-f64_1024_pd12m-fullDatBench-Full
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
DatBench is a curated evaluation suite for vision–language models (VLMs) designed to be faithful, discriminative, and efficient.
📄 DatBench: Discriminative, Faithful, and Efficient VLM Evaluationshttps://arxiv.org/abs/2601.02316
Modern VLM benchmarks often overestimate model capability due to multiple-choice inflation, language-only shortcuts, annotation noise, and redundant low-signal samples. DatBench reframes… See the full description on the dataset page: https://huggingface.co/datasets/DatologyAI/DatBench-Full.freesound-laion-640k-commercial-16khz-full
About this Repository
This repository is the training split of the complete FreeSound LAION 640k dataset, limited only to licenses that permit commercial works, resampled to 16khz using torchaudio.transforms.Resample.
This is ideal for use cases where a variety of audio is desired but fidelity and labels are unnecessary, such as background audio for augmenting other datasets.
Dataset Versions
You are looking at the full dataset which contains 403,146 unique sounds… See the full description on the dataset page: https://huggingface.co/datasets/benjamin-paine/freesound-laion-640k-commercial-16khz-full.icrm-hitek-full-db-mixed
ICMR + HITEK Full DB (Mixed) — Prebuilt Indexes + One-Click Setup
Prebuilt sorted indexes for the Kzr0xx/Icmr-and-hitek dataset (2.5B rows, 11 columns, ~104 GB raw parquet).
Building these indexes took ~17 hours of compute. This repo saves you that work: download + run = API live in ~1-2 hours (download speed dependent).
Contents
The indexes are stored as sorted parts (each < 50 GB, split at row-group boundaries, order preserved) because HuggingFace's classic HTTP… See the full description on the dataset page: https://huggingface.co/datasets/sauravsingh2111/icrm-hitek-full-db-mixed.full-math-private-n256-Qwen2.5-3B-Instruct-bonicrm-hitek-full-db-mixed
ICMR + HITEK Full DB (Mixed) — Prebuilt Indexes + One-Click Setup
Prebuilt sorted indexes for the Kzr0xx/Icmr-and-hitek dataset (2.5B rows, 11 columns, ~104 GB raw parquet).
Building these indexes took ~17 hours of compute. This repo saves you that work: download + run = API live in ~1-2 hours (download speed dependent).
Contents
The indexes are stored as sorted parts (each < 50 GB, split at row-group boundaries, order preserved) because HuggingFace's classic HTTP… See the full description on the dataset page: https://huggingface.co/datasets/sckeptic/icrm-hitek-full-db-mixed.fineweb-edu-full-metadata[WIP]
FineWeb-Edu with Metadata
This repo contains 3 versions of the FineWeb-Edu v1 dataset:
fwedu1-metaonly/
fwedu1-text-content-zstd/
fineweb-edu-1.0.0-meta-and-text/
These are all joinable via the hash column, which is xxhash64 in pyspark, calculated on the text column. This hash is unique for all instances in the dataset. For convenience, this join is done for you in the third table
fwedu1-metaonly is just the metadata of the data exactly as it comes from the FineWeb-Edu v1… See the full description on the dataset page: https://huggingface.co/datasets/mmarone/fineweb-edu-full-metadata.bl_books_flickr_fullfull-math-private-n256-Llama-3.2-3B-Instruct-bonicrm-hitek-full-db-mixed
ICMR + HITEK Full DB (Mixed) — Prebuilt Indexes + One-Click Setup
Prebuilt sorted indexes for the Kzr0xx/Icmr-and-hitek dataset (2.5B rows, 11 columns, ~104 GB raw parquet).
Building these indexes took ~17 hours of compute. This repo saves you that work: download + run = API live in ~1-2 hours (download speed dependent).
Contents
The indexes are stored as sorted parts (each < 50 GB, split at row-group boundaries, order preserved) because HuggingFace's classic HTTP… See the full description on the dataset page: https://huggingface.co/datasets/Craige113/icrm-hitek-full-db-mixed.preprocessed-full-math-private-n256-Llama-3.2-3B-Instruct-bontadabur-lora-data-fullphonix-full
Phonix: Database for Anharmonic Phonon Interactions
About
Phonix is a first-principles database of anharmonic phonon interactions.
Phonix v2026.03.28 targets approximately 20,000 inorganic, non-metallic, and
non-magnetic compounds drawn from the Materials Project (v2022.10.28) and Phonondb (v2018-04-07),
including thermal conductivity data for over 6,800 materials.
The database was generated using the automated workflow software
auto-kappa
(GitHub),
which integrates… See the full description on the dataset page: https://huggingface.co/datasets/phonix-db/phonix-full.icrm-hitek-full-db-mixed
ICMR + HITEK Full DB (Mixed) — Prebuilt Indexes + One-Click Setup
Prebuilt sorted indexes for the Kzr0xx/Icmr-and-hitek dataset (2.5B rows, 11 columns, ~104 GB raw parquet).
Building these indexes took ~17 hours of compute. This repo saves you that work: download + run = API live in ~1-2 hours (download speed dependent).
Contents
The indexes are stored as sorted parts (each < 50 GB, split at row-group boundaries, order preserved) because HuggingFace's classic HTTP… See the full description on the dataset page: https://huggingface.co/datasets/idkdd/icrm-hitek-full-db-mixed.fullteegeeTissueMNIST-224-full-gpt5nano-with-vlm-features
TissueMNIST 224 Full Train Val with GPT-5-nano VLM Features
The full TissueMNIST train and validation splits with categorical morphology features generated by GPT-5-nano. Test is included as the full TissueMNIST passthrough split with null vlm_model_name and placeholder vlm_feature values for schema consistency.
This dataset is derived from the official MedMNIST TissueMNIST 224px data.
The VLM feature labels are categorical privileged-information annotations
for CS231N VLM-LUPI… See the full description on the dataset page: https://huggingface.co/datasets/Koa-Chang/TissueMNIST-224-full-gpt5nano-with-vlm-features.items_fullfull_foldingThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "openarms_follower",
"total_episodes": 5688,
"total_frames": 14129038,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:5688"
},
"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/lerobot/full_folding.mbti_classification_dataset_fullPosts