datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
music_genres
Dataset Card for "music_genres"
More Information needed
imdb-movie-genres
Dataset Card for "imdb-movie-genres"
MDb (an acronym for Internet Movie Database) is an online database of information related to films, television programs, home videos, video games, and streaming content online – including cast, production crew and personal biographies, plot summaries, trivia, ratings, and fan and critical reviews. An additional fan feature, message boards, was abandoned in February 2017. Originally a fan-operated website, the database is now owned and operated by… See the full description on the dataset page: https://huggingface.co/datasets/adrienheymans/imdb-movie-genres.GenRef-wds
GenRef-1M
We provide 1M high-quality triplets of the form (flawed image, high-quality image, reflection) collected across
multiple domains using our scalable pipeline from [1]. We used this dataset to train our reflection tuning model.
To know the details of the dataset creation pipeline, please refer to Section 3.2 of [1].
Project Page: https://diffusion-cot.github.io/reflection2perfection
Dataset loading
We provide the dataset in the webdataset format for fast… See the full description on the dataset page: https://huggingface.co/datasets/diffusion-cot/GenRef-wds.imdb-genres
Dataset Card for IMDb Movie Dataset: All Movies by Genre
Dataset Summary
This dataset is an adapted version of "IMDb Movie Dataset: All Movies by Genre" found at: https://www.kaggle.com/datasets/rajugc/imdb-movies-dataset-based-on-genre?select=history.csv.
Within the dataset, the movie title and year columns were combined, the genre was extracted from the seperate csv files, the pre-existing genre column was renamed to expanded-genres, any movies missing a description… See the full description on the dataset page: https://huggingface.co/datasets/jquigl/imdb-genres.GenRef-CoT
GenRef-CoT
We provide 227K high-quality CoT reflections which were used to train our Qwen-based reflection generation model in ReflectionFlow [1]. To
know the details of the dataset creation pipeline, please refer to Section 3.2 of [1].
Dataset loading
We provide the dataset in the webdataset format for fast dataloading and streaming. We recommend downloading
the repository locally for faster I/O:
from huggingface_hub import snapshot_download
local_dir =… See the full description on the dataset page: https://huggingface.co/datasets/diffusion-cot/GenRef-CoT.fma-genre-classification
FMA Genre Classification Dataset
The FMA Genre Classification Dataset is a subset of the Free Music Archive (FMA), containing audio samples and genre labels for music classification tasks. This version uses the "small" subset of FMA, which contains 8,000 tracks of 30 seconds each, evenly distributed across 8 genres.
Dataset Description
Dataset Summary
This dataset consists of 8,000 audio tracks from the Free Music Archive (FMA), each 30 seconds in length… See the full description on the dataset page: https://huggingface.co/datasets/rpmon/fma-genre-classification.imsdb-genre-movie-scripts
Dataset Card for "imsdb-genre-movie-scripts"
More Information needed
Genre-Classifier-Country-Per-Country
Name Dataset — Gender Classifier Parquet
Parquet conversion of philipperemy/name-dataset for first-name gender classification.
Source
Original repository: https://github.com/philipperemy/name-dataset
Original archive: name_dataset.zip
Original CSV format: first_name,last_name,gender,country_code
Converted format: first_name,gender
One Hugging Face config/subset per country code.
Cleaning
Rows are removed when:
first_name is null, empty, or… See the full description on the dataset page: https://huggingface.co/datasets/SpiceeChat/Genre-Classifier-Country-Per-Country.recsys-genrec-dataset-final
SIDReasoner final training dataset
Consolidated training data for the Video Games, Office Products, and Industrial
and Scientific domains.
Included data
Video_Games_catalog, Video_Games_reasoning, and Video_Games_seqrec are
sourced from
yufan/recsys-genrec-dataset-refresh-gpt5.4-candidateV2.
Video_Games_catalog.retrieval_summary contains compact GPT-5.4-generated
product summaries for semantic retrieval while preserving every original
catalog field.… See the full description on the dataset page: https://huggingface.co/datasets/yufan/recsys-genrec-dataset-final.MUD_GenreUI
MUD_GenreUI
A 100-screen mobile UI dataset with:
Original screenshots — real mobile app screens across 10 app types and 12 user intents
Reconstructed HTML — each screen recreated as a self-contained HTML/CSS file (Gemini 2.5 Pro)
Rendered screenshots — Playwright renders of the HTML at 390px width
Revision tasks — 3 tasks per applicable taxonomy category (fine-tuned Gemini generator)
Schema
Column
Type
Description
id
int
Screen ID
app_type
string
App… See the full description on the dataset page: https://huggingface.co/datasets/VkumarStack/MUD_GenreUI.recsys-genrec-dataset
🧠 Amazon Semantic-ID Recommendation + Reasoning
Data for the three-stage SIDReasoner pipeline · Reasoning over Semantic IDs Enhances Generative Recommendation
Three Amazon-review categories (5-core, 2016-10 ~ 2018-11), each an independent item
universe with its own Semantic-ID codebook <a_x><b_y><c_z>. Every item maps to a
3-token semantic ID; the model learns to reason over these IDs before recommending.
<cat> below is any of Video_Games, Office_Products… See the full description on the dataset page: https://huggingface.co/datasets/yufan/recsys-genrec-dataset.1k_stories_100_genre
Dataset Documentation
Overview
This dataset contains 1000 stories spanning 100 different genres. Each story is represented in a tabular format using a dataframe. The dataset includes unique IDs, titles, and the content of each story.
Genre List
The list of all genres can be found in the genres.txt file.
reading genre_list variable
with open('story_genres.pkl', 'rb') as f:
story_genres = pickle.load(f)
Sample of genre list:
genres = ['Sci-Fi', 'Comedy'… See the full description on the dataset page: https://huggingface.co/datasets/FareedKhan/1k_stories_100_genre.0717-calm3-22b-random-genre-inst-sft-tsub
自動生成Q&A
ランダムなジャンルについて､OpenCalm3-22bで生成したQ&Aです｡
一部の計算には東京工業大学のスーパーコンピュータTSUBAME4.0を利用しました｡
データ
jsonlファイルが数十GB程度あります
datasetsライブラリからでは､はじめの数GB程度しか読み込めない可能性があります｡git lfsなどでダウンロードする必要がありそうです｡
クリーニングはしていません｡おかしなinstructionが一定数､含まれます
music_genres_small
Dataset Card for "music_genres_small"
More Information needed
MARBLEGenreClassification_MTG-Genre-Fold1
Dataset Card for "MARBLEGenreClassification_MTG-Genre-Fold1"
More Information needed
book_genresspotify-genresSpotify genres scraped from https://everynoise.com/everynoise1d.cgi?scope=all
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: genre_name
dtype: string
- name: genre_slug
dtype: string
- name: playlist_url
dtype: string
- name: description
dtype: string
splits:
- name: train
num_bytes: 1047789
num_examples: 6276
download_size: 577290
dataset_size: 1047789
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/devxpy/spotify-genres.Genre_ClassificationMARBLEGenreClassification_MTG-Genre-Fold3
Dataset Card for "MARBLEGenreClassification_MTG-Genre-Fold3"
More Information needed
ud_genre
UD Genre Labels full-ud-v1.1.1-ud2.18
Derived sentence-level genre annotations for the universal-dependencies/universal_dependencies Universal Dependencies dataset.
These labels are produced by the bootstrapping pipeline and are not authoritative gold annotations.
Dataset Summary
This dataset provides a sentence-level genre layer aligned to the universal-dependencies/universal_dependencies Parquet release.
Each row contains one derived genre label for one UD… See the full description on the dataset page: https://huggingface.co/datasets/commul/ud_genre.GT-Music-Genre
GT-Music-Genre
This is an audio classification dataset for Music Analysis.
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 huggingface_hub
audio_datasets_path = "DATASET_PATH/Audio-Datasets"
if not os.path.exists(audio_datasets_path): print(f"Given {audio_datasets_path=} does not exist. Specify a valid path ending with… See the full description on the dataset page: https://huggingface.co/datasets/MahiA/GT-Music-Genre.Multi-Lingual-Lyrics-for-Genre-Classificationfrom https://www.kaggle.com/datasets/mateibejan/multilingual-lyrics-for-genre-classification
Book_GenreGTZAN-Dataset-Music-Genre-Classification
Hướng dẫn sử dụng Dataset GTZAN cho Model Team
1. Thành phần bàn giao
Dataset trên Hugging Face:
Tài nguyên đi kèm: [stats.json] , [label_map.json]
2. Cách Load Dataset từ Hugging Face
Dữ liệu đã chia sẵn thành 3 tập: train, validation và test theo tỷ lệ chuẩn, đảm bảo Zero-Leakage (các đoạn cắt từ cùng một bài hát gốc sẽ nằm chung trong một tập).
from datasets import load_dataset
# Thay token bằng Hugging Face Token của bạn
HF_TOKEN = "your_hf_token_here"… See the full description on the dataset page: https://huggingface.co/datasets/Khahn-nh/GTZAN-Dataset-Music-Genre-Classification.GTZAN_genre_classificationgenre-taxonomy-sfw
Genre Taxonomy — SFW Split
The safe-for-work half of a two-part short-fiction genre taxonomy: 119,753 genre
entries / 197,509 labels (genre + subgenre names; no story text). The adult
companion split lives in the paired repo genre-taxonomy-nsfw.
Every label was screened by multi-round LLM judging (large single-pass scan, then
targeted re-judging rounds) under a double-pass agreement standard: a label is
only acted on when independent judging passes agree. Labels judged… See the full description on the dataset page: https://huggingface.co/datasets/baiango/genre-taxonomy-sfw.genrescoh
Dataset Card for GenResCoh
Dataset Summary
GenResCoh is a collection of positive and negative responses focused on coherence. It is generated using GPT-3.5-Turbo and GPT-4, and contains over 130k responses in different languages (English, French, German, Italian, and Chinese), together with their corresponding explanations (in English).
GenResCoh was used to train the ECoh family of models.
Languages
English
German
Italian
French
Chinese (Simplified)… See the full description on the dataset page: https://huggingface.co/datasets/Johndfm/genrescoh.fineweb-genre0723-calm3-22b-random-genre-inst-sft-multiturn-clean-tsub
自動生成Q&A
ランダムなジャンルについて､OpenCalm3-22bで生成したQ&Aです｡
一部の計算には東京工業大学のスーパーコンピュータTSUBAME4.0を利用しました｡
データ
クリーニングはしていません｡おかしなtextが一定数､含まれます
X-GENRE-text-genre-dataset
Multilingual manually-annotated X-GENRE genre dataset
Multilingual (English-Slovenian) manually-annotated X-GENRE genre dataset is to be used for automatic genre identification, namely,
for training genre classifiers (on the training split) and evaluation in the in-dataset scenario (on the test split).
The dataset was presented in the paper "Automatic Genre Identification for Robust Enrichment of Massive Text Collections:
Investigation of Classification Methods in the Era of Large… See the full description on the dataset page: https://huggingface.co/datasets/TajaKuzmanPungersek/X-GENRE-text-genre-dataset.