datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
officeqa
OfficeQA
Dataset Summary
OfficeQA is a grounded reasoning benchmark by Databricks for evaluating model and agent performance on end-to-end reasoning over real-world documents.
The benchmark consists of question–answer pairs that require reasoning over historical U.S. Treasury Bulletin documents (1939–2025), which contain dense financial tables, charts, and narrative text. OfficeQA is designed to test retrieval, tool use, and multi-step reasoning in… See the full description on the dataset page: https://huggingface.co/datasets/databricks/officeqa.Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-DatasetTunisian Proverbs with Image Associations: A Cultural and Linguistic Dataset
Description
This dataset explores the rich oral tradition of Tunisian proverbs mapped into text format, pairing each with contextual explanations, English translations both word-to-word and it's equivalent Target Language dynamic, Automated prompt and AI-generated visual interpretations.
It bridges linguistic, cultural, and visual modalities making it valuable for tasks in cross-cultural NLP, generative… See the full description on the dataset page: https://huggingface.co/datasets/HabibaAbderrahim/Tunisian-Proverbs-with-Image-Associations-A-Cultural-and-Linguistic-Dataset.officeqa-pro-v2
OfficeQA Pro v2
Dataset Summary
OfficeQA Pro v2 is a grounded reasoning benchmark by Databricks for evaluating model and agent performance on end-to-end reasoning over real-world documents.
The benchmark consists of question–answer pairs that require reasoning over two centuries of U.S. Federal Accounts of Receipts and Expenditures reporting (1793–2024) — Combined Statements of Receipts, Outlays, and Balances of the United States Government, together with earlier… See the full description on the dataset page: https://huggingface.co/datasets/databricks/officeqa-pro-v2.task_data
QuantCodeEval
A benchmark for evaluating LLM coding agents on quantitative-strategy code
reproduction from finance research papers.
Status: Anonymous artifact for the 30-task benchmark.
Release mirrors
The release is mirrored at two anonymous locations:
Hugging Face Datasets — complete anonymous release:
https://huggingface.co/datasets/quantcodeeval/task_data
anonymous.4open.science — browseable mirror:
https://anonymous.4open.science/r/QuantCodeEval-Anonymous… See the full description on the dataset page: https://huggingface.co/datasets/quantcodeeval/task_data.MMLA-Datasets
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
1. Introduction
MMLA is the first comprehensive multimodal language analysis benchmark for evaluating foundation models. It has the following features:
Large Scale: 61K+ multimodal samples.
Various Sources: 9 datasets.
Three Modalities: text, video, and audio
Both Acting and Real-world Scenarios: films, TV series, YouTube, Vimeo, Bilibili, TED, improvised scripts, etc.
Six Core… See the full description on the dataset page: https://huggingface.co/datasets/THUIAR/MMLA-Datasets.muslim-names-dataset
Muslim Names Dataset
A comprehensive collection of Muslim names with meanings scraped from muslimnames.com. Contains 14,585 names with English names, Arabic names, meanings, and gender classifications.
Dataset Contents
This dataset contains ~14,585 Muslim names with the following information:
English name: Name in English/Latin script
Arabic name: Name in Arabic script
Meaning: Definition and meaning of the name
Gender: Classification as male or female
Files… See the full description on the dataset page: https://huggingface.co/datasets/takiuddinahmed/muslim-names-dataset.chess_datasets
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/p11-p11/chess_datasets.Origin-Sequence-Data
AL-GR/Origin-Sequence-Data: Raw User Behavior Sequences 📜
About the Dataset
Each row in this dataset (Origin-Sequence-Data) represents a step in a user's journey, consisting of a sequence of previously interacted items (user_history) and the next item they interacted with (target_item). All item IDs have been anonymized into short, unique strings.
This dataset is ideal for:
🧑🔬 Researchers who want to design their own data processing or prompting strategies for… See the full description on the dataset page: https://huggingface.co/datasets/AL-GR/Origin-Sequence-Data.multidomain-kazakh-dataset
Dataset Description
Point of Contact: Sanzhar Murzakhmetov, Besultan Sagyndyk
Dataset Summary
MDBKD | Multi-Domain Bilingual Kazakh Dataset is a Kazakh-language dataset containing just over 24 883 808 unique texts from multiple domains.
Supported Tasks
'MLM/CLM': can be used to train a model for casual and masked languange modeling
Languages
The kk code for Kazakh as generally spoken in the Kazakhstan
Data Instances
For each instance… See the full description on the dataset page: https://huggingface.co/datasets/kz-transformers/multidomain-kazakh-dataset.Flutter-Code-with-Questions-Dataset-Turkish
Flutter Code with Questions Dataset (Turkish)
📦 Dataset Name: flutter_code_with_questions
Bu veri seti, Flutter framework'ü ile yazılmış kod parçacıkları ve her bir kod parçası için özel olarak üretilmiş detaylı Türkçe soruları içermektedir. Veri seti, kodların eğitim verisi olarak kullanılmasının yanı sıra, LLM (Large Language Model) tabanlı kod anlama ve soru yanıtlama modellerinin geliştirilmesinde kullanılabilir.
📁 Dataset Format
Veri dosyaları CSV… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-Turkish.Chinese_Multi-Emotion_Dialogue_Dataset
Chinese_Multi-Emotion_Dialogue_Dataset
📄 Description
This dataset contains 4159 Chinese dialogues annotated with 8 distinct emotion categories. The data is suitable for emotion recognition, sentiment analysis, and other NLP tasks involving Chinese text.
Data Sources:
Daily Conversations: Captured from natural, informal human conversations.
Movie Dialogues: Extracted from diverse Chinese-language movies.
AI-Generated Dialogues: Synthesized using… See the full description on the dataset page: https://huggingface.co/datasets/Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset.Code_Vulnerability_Labeled_Dataset
Dataset Card for Code_Vulnerability_Labeled_Dataset
Dataset Summary
This dataset provides (code, vulnerability) pairs. The vulnerability field takes values according to the CWE annotation:
CWE
Description
CWE-020
Improper Input Validation
CWE-022
Improper Limitation of a Pathname to a Restricted Directory (“Path Traversal”)
CWE-078
Improper Neutralization of Special Elements used in an OS Command (“OS Command Injection”)
CWE-079
Improper Neutralization of… See the full description on the dataset page: https://huggingface.co/datasets/lemon42-ai/Code_Vulnerability_Labeled_Dataset.Flutter-Code-with-Questions-Dataset-English
🧠 Flutter Code with Questions Dataset (English)
This repository contains a high-quality dataset of Flutter-related code snippets paired with automatically generated English technical questions. The dataset is intended for use in training and fine-tuning language models, coding assistants, and educational systems focused on Flutter development.
📂 Dataset Structure
The dataset is divided into 22 CSV files, each containing 200 entries. Every entry includes:
A… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-English.Bhagavad-Gita_Dataset
Srimad Bhagavad Gita Dataset
A parallel corpus of the Srimad Bhagavad Gita containing original verses in Sanskrit (sa), with Hindi (hi) and English (en) translations.This dataset is suitable for translation, text generation, and feature extraction tasks.
Dataset Details
Based on: This dataset is based on a book called 'Srimad Bhagavad Gita' kept at Central Archaelogical Library, New Delhi
Original Book Source (IGNCA): https://ignca.gov.in/Asi_data/279.pdf… See the full description on the dataset page: https://huggingface.co/datasets/JDhruv14/Bhagavad-Gita_Dataset.poc-mini-trade-game-dataset
Dataset Card for Mini Trade Game NPC Dataset
Dataset Summary
This dataset contains synthetic training examples for simulating NPC (Non-Player Character) merchant behavior in a trading game scenario. The dataset is designed to train language models to generate contextually appropriate trading responses based on item properties, relationship status, and player interactions.
All examples are in Traditional Chinese (zh-TW), with player inputs and NPC responses using… See the full description on the dataset page: https://huggingface.co/datasets/aotoki/poc-mini-trade-game-dataset.Assistive_Prompting_Disabilities_Dataset
Assistive Prompting Disabilities Dataset
This dataset provides multilingual prompts for evaluating assistive prompt mediation under accessibility-related textual noise. It accompanies the ICML accepted Assistive Prompt Mediation paper and includes benchmark scripts for preparing inference inputs, computing row-level metrics, compiling existing judge annotations, and generating aggregate summaries.
Dataset Description
The dataset contains clean prompts and noisy… See the full description on the dataset page: https://huggingface.co/datasets/AssistivePromptMediation/Assistive_Prompting_Disabilities_Dataset.ReasoningShield-Dataset
🤗 Dataset Card for ReasoningShield
🛡 1. Dataset Overview
ReasoningShield Dataset is the first comprehensive, well-structured dataset designed to train and evaluate models for detecting hidden safety risks in reasoning traces of Large Reasoning Models (LRMs), spanning 10 risk categories and 3 safety levels. It consists of:
ReasoningShield-Train: 7,000 human-AI annotated (Query… See the full description on the dataset page: https://huggingface.co/datasets/ReasoningShield/ReasoningShield-Dataset.genz-slang-dataset
Dataset Details
This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations.
The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.GPT2-Hacker-password-generator-dataset
Hacker Style Password Generation Dataset
Dataset Description
This dataset contains 20,000 instruction-response pairs designed to train and evaluate language models for generating strong, "hacker-style" passwords. The data simulates a user requesting a secure password and the model providing a complex, randomly generated string.
Supported Tasks
Text Generation: The primary task is conditional text generation, where the model takes a natural language instruction… See the full description on the dataset page: https://huggingface.co/datasets/CodeferSystem/GPT2-Hacker-password-generator-dataset.autoencoder-paraphrase-dataset
Dataset Card for Machine Paraphrase Dataset (MPC)
Dataset Summary
The Autoencoder Paraphrase Corpus (APC) consists of ~200k examples of original, and paraphrases using three neural language models.
It uses three models (BERT, RoBERTa, Longformer) on three source texts (Wikipedia, arXiv, student theses).
The examples are aligned, i.e., we sample the same paragraphs for originals and paraphrased versions.
How to use it
You can load the dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/autoencoder-paraphrase-dataset.Data-Analytics-Digital-Marketing-Project-Management-QA_DBmachine-paraphrase-dataset
Dataset Card for Machine Paraphrase Dataset (MPC)
Dataset Summary
The Machine Paraphrase Corpus (MPC) consists of ~200k examples of original, and paraphrases using two online paraphrasing tools.
It uses two paraphrasing tools (SpinnerChief, SpinBot) on three source texts (Wikipedia, arXiv, student theses).
The examples are not aligned, i.e., we sample different paragraphs for originals and paraphrased versions.
How to use it
You can load the dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/machine-paraphrase-dataset.Hinglish_Dataset_instruction_and_rawNcert_datasetBooking-Hotel-Reviews-Dataset
Booking.com Hotel Reviews Dataset – 4.3K Sample
A rich, structured dataset of hotel reviews collected from Booking.com, featuring a unique split of positive and negative review text, reviewer country, stay dates, traveler tags, and hotel location data. Ideal for sentiment analysis, aspect-based opinion mining, travel AI, hospitality recommendation systems, and LLM fine-tuning on real-world review data.
Dataset Overview
Field
Details
Source… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/Booking-Hotel-Reviews-Dataset.football-commentary-dataset
⚽ YallaShoot Football Commentary Dataset
A curated dataset of football (soccer) match commentary, player mentions, and match events — built to power NLP models for the Arabic and global football community.
📌 Dataset Description
This dataset contains structured football match commentary collected from live match feeds, covering top leagues including:
🏴 English Premier League (EPL)
🇪🇸 La Liga
🏆 UEFA Champions League
🌍 Arab World Leagues (Saudi Pro… See the full description on the dataset page: https://huggingface.co/datasets/yallashoot/football-commentary-dataset.lyrics-database
Genius Lyrics
This dataset is a processed, lightweight subset of the original brunokreiner/genius-lyrics dataset. It has been filtered to focus exclusively on English songs with valid artist data, making it optimized for NLP tasks involving English songwriting, lyric generation, or genre classification.
All original credit goes to Bruno Kreiner for scraping and compiling the original data. This version is simply a filtered downsize for ease of use.
Processing & Filtering… See the full description on the dataset page: https://huggingface.co/datasets/theelderemo/lyrics-database.ASRD-Dataset
Adversarial Surface-Form Robustness Dataset (ASRD)
Anonymous Repository for Double-Blind ReviewNeurIPS 2026 Workshop
1. Dataset Overview
Standard safety evaluations of large language models routinely measure model refusal and compliance using canonical plain-text instructions. However, deployed systems frequently encounter non-canonical inputs containing expressive symbols (emojis), character-level substitutions (homoglyphs, leetspeak), structured encodings… See the full description on the dataset page: https://huggingface.co/datasets/asrd-research/ASRD-Dataset.Anti-Sycophancy-DPO
Anti-Sycophancy DPO Preference Dataset
Overview
Large Language Models sometimes exhibit sycophantic behavior, where the model agrees with a user even when the user’s claim is incorrect or misleading.
This behavior can unintentionally reinforce:
conspiracy theories
misinformation
stereotypes
pseudoscientific beliefs
In some cases, users may interpret the model’s agreement as validation of false claims, which can amplify the spread of misleading information.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/DataCreatorAI/Anti-Sycophancy-DPO.Dynamically-Generated-Hate-Speech-Dataset
Dataset Card for dynamically generated hate speech dataset
Dataset Summary
This is a copy of the Dynamically-Generated-Hate-Speech-Dataset, presented in this paper by
Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela
Original README from GitHub
Dynamically-Generated-Hate-Speech-Dataset
ReadMe for v0.2 of the Dynamically Generated Hate Speech Dataset from Vidgen et al. (2021). If you use the dataset, please cite our paper in the… See the full description on the dataset page: https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset.