datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TexasPokerRobot
TexasPokerRobot
TexasPokerRobot is a robot manipulation dataset collected in a Texas poker tabletop environment. The raw episodes are stored as compressed NumPy .npz files, organized by action folder. This release adds a Hugging Face-compatible manifest at data/train.csv so the dataset has a standard loadable split and a working Dataset Viewer while preserving the original raw episode files.
Dataset Summary
1,470 raw episode files
14 action folders, with 105 episodes per… See the full description on the dataset page: https://huggingface.co/datasets/Winniechen2002/TexasPokerRobot.cis5300-text-classification
Complex Word Identification (CIS 5300)
Dataset Description
This dataset supports the Complex Word Identification (CWI) task: given a word in context, predict whether it is complex (likely to be difficult for non-native speakers, children, or people with reading disabilities) or simple.
CWI is the first step in lexical simplification — the task of rewriting text to make it more accessible. Before you can simplify a word, you need to identify which words need… See the full description on the dataset page: https://huggingface.co/datasets/CCB/cis5300-text-classification.texas-layoffs-warn-act-notices-daily
Texas WARN Act layoff notices — every filing we hold since 2019, one CSV, rebuilt daily
2,391 Texas WARN notices — every one this dataset holds, back to 2019 — free to download in full: no paywalled years, no login, no account · most recent notice filed 2026-09-15
· state source last checked 2026-09-23T12:26Z · official source: Texas Workforce Commission — WARN notices.
Texas employers must file a WARN Act notice with the state before a qualifying
mass layoff or plant closing.… See the full description on the dataset page: https://huggingface.co/datasets/APProjects/texas-layoffs-warn-act-notices-daily.BAD-Bengali-Aggressive-Text-Dataset
Novel Aggressive Text Dataset in Bengali
Tackling Cyber-Aggression: Identification and Fine-Grained Categorization of Aggressive Texts on Social Media using Weighted Ensemble of Transformers
Author: Omar Sharif and Mohammed Moshiul Hoque
Related Papers:
Paper1 in Neurocomputing Journal
Paper2 in CONSTRAINT@AAAI-2021
Paper3 in LTEDI@EACL-2021
Abstract
The pervasiveness of aggressive content in social media has become a serious concern for government… See the full description on the dataset page: https://huggingface.co/datasets/omar-sharif/BAD-Bengali-Aggressive-Text-Dataset.PubMed_MultiLabel_Text_Classification_Dataset_MeSHThis dataset consists of a approx 50k collection of research articles from PubMed repository. Originally these documents are manually annotated by Biomedical Experts with their MeSH labels and each articles are described in terms of 10-15 MeSH labels. In this Dataset we have huge numbers of labels present as a MeSH major which is raising the issue of extremely large output space and severe label sparsity issues. To solve this Issue Dataset has been Processed and mapped to its root as Described… See the full description on the dataset page: https://huggingface.co/datasets/owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH.laion_text_debiased_60MFilter zxbsmk/laion_text_debiased_60M by image size and get 512 subset(12,009,641 pairs), 768 subset(4,915,850 pairs), 1024 subset(1,985,026 pairs).
CMU-Mosei-textPashto-Textbooks-PDFs-Corpus
Pashto Textbooks and PDFs Corpus
Languages: psLicense: cc-by-4.0Task categories: text-generation, feature-extractionSize categories: n<1K
Summary
This dataset is part of the ZamAI Pashto data collection. It is intended for text-generation, feature-extraction tasks in Pashto.
How to use
from datasets import load_dataset
dataset = load_dataset("tasal9/Pashto-Textbooks-PDFs-Corpus")
print(dataset)
Configs
default: load with… See the full description on the dataset page: https://huggingface.co/datasets/tasal9/Pashto-Textbooks-PDFs-Corpus.africa-synth-textile-garment-production-all
African Textile & Garment Production | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: csv - Sector: culture_language - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-textile-garment-production-all.PubMed-Cancer-NLP-Textual-Dataset
PubMed-Cancer-NLP-Textual-Dataset
This dataset has been obtained from PubMed for research purposes. README will be updated with time.
Dataset Details
Dataset Description
It has multiple cancer samples with labels with their title and abstract from PubMed Repository.
Curated by: Om Aryan
Dataset Sources
Repository: https://pubmed.ncbi.nlm.nih.gov
Amharic-News-Text-classification-Dataset
An Amharic News Text classification Dataset
In NLP, text classification is one of the primary problems we try to solve and its uses in language analyses are indisputable. The lack of labeled training data made it harder to do these tasks in low resource languages like Amharic. The task of collecting, labeling, annotating, and making valuable this kind of data will encourage junior researchers, schools, and machine learning practitioners to implement existing classification models… See the full description on the dataset page: https://huggingface.co/datasets/israel/Amharic-News-Text-classification-Dataset.Diffusion-Reward-Modeling-for-Text-Rendering-Dataset
🖼️ Text-to-Image Rendering Dataset
A dataset of 14k text prompts for image generation with text rendering evaluation
📚 Dataset Overview
This dataset contains 14,000 text prompts specifically designed for:
Image generation with text rendering
Evaluating text preservation in generated images
Training diffusion models for better text rendering
Each prompt comes with:
Pre-extracted target text for rendering
5 Stable Diffusion 3 generated latents (70k total)
Dual… See the full description on the dataset page: https://huggingface.co/datasets/leffff/Diffusion-Reward-Modeling-for-Text-Rendering-Dataset.Text2Vis
Dataset Card for Text2Vis
📝 Dataset Summary
Text2Vis is a benchmark dataset designed to evaluate the ability of large language models (LLMs) to generate accurate and high-quality data visualizations from natural language queries. Each example includes a natural language question, an associated data table, the expected answer, and ground-truth visualization code, along with rich metadata such as chart type, axis labels, domain, complexity, and question types. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/mizanurr/Text2Vis.mathoverflow_text_arxiv_labelsDownloaded from https://archive.org/download/stackexchange
Used TexSoup to replace all text in math environments with [UNK]. For instance the text:
"The integral $\int_a^b f(x) \textrm{ d}x$ is easy to evaluate if..."
was replaced with
"The integral [UNK] is easy to evaluate if..."
Note: There is still some "ascii math". For instance, people sometimes write things like f: X --> Y. This is retained.
Concatenated title and body.
Some of these are "answer" posts rather than "question" posts.… See the full description on the dataset page: https://huggingface.co/datasets/stevengubkin/mathoverflow_text_arxiv_labels.economics-textbookDomesticNames_AllStates_Text Domestic Names from the Federal Government's repository of official geographic names [CSV dataset]
This Dataset includes 980,065 geographic names as of September 10, 2023.
It is apparent that no currently released LLMs are pretrained on datasets with many of these geographic names (i.e., features), descriptions, and histories.
Example: feature_name: Abercrombie Gulch
GPT-3.5 responds "I'm not aware of a specific location called Abercrombie Gulch in my training data,..." when prompted… See the full description on the dataset page: https://huggingface.co/datasets/cellos/DomesticNames_AllStates_Text.Synth-Text-Eng-512x128
Synthetic Text Images (English)
A synthetic dataset of rendered text images with rich per-sample
annotations: the text itself, its rendering attributes, background
description, applied post-processing, and a natural-language caption.
Each image is generated by compositing English text over a procedurally
generated background with random font, color, position, rotation, blur,
brightness and noise. All samples are accompanied by a structured
metadata.csv and a ready-to-use… See the full description on the dataset page: https://huggingface.co/datasets/Nininkkka/Synth-Text-Eng-512x128.Text2Vis
Dataset Card for Text2Vis
📝 Dataset Summary
Text2Vis is a benchmark dataset designed to evaluate the ability of large language models (LLMs) to generate accurate and high-quality data visualizations from natural language queries. Each example includes a natural language question, an associated data table, the expected answer, and ground-truth visualization code, along with rich metadata such as chart type, axis labels, domain, complexity, and question types. The… See the full description on the dataset page: https://huggingface.co/datasets/AIHero123/Text2Vis.text-quality
Text Quality Assessment Dataset
Overview
This dataset is designed to assess text quality robustly across various domains for NLP and AI applications. It provides a composite quality score based on multiple classifiers, offering a more comprehensive evaluation of text quality beyond educational domains.
Dataset Details
Size: 100,000 sentences
Source: 20,000 sentences from each of 5 different datasets
allenai/c4
HuggingFaceFW/fineweb-edu… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/text-quality.text-quality-v2
Text Quality Meta-Analysis Dataset
Dataset Summary
The Text Quality Meta-Analysis Dataset is a comprehensive collection of sentences with associated quality metrics derived from multiple sources and methods. It combines text from various sources with quality scores from different models to create a thorough assessment of sentence quality. This dataset is an expanded and streamlined version of agentlans/text-quality.
In this context, "quality" refers to legible English… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/text-quality-v2.Thai-Semantic-Textual-Similarity-BenchmarkSentence representation plays a crucial role in NLP downstream tasks such as NLI, text classification, and STS. Recent sentence representation training techniques require NLI or STS datasets. However, there are no equivalent Thai NLI or STS datasets for sentence representation training.
To address this problem we provide the Thai sentence vector benchmark. We evaluate the Spearman correlation score of the sentence representations’ performance on Thai STS-B (translated version of STS-B).… See the full description on the dataset page: https://huggingface.co/datasets/mrp/Thai-Semantic-Textual-Similarity-Benchmark.Dataset_Automatic_Essay_Scoring_Essay-EssayScore_and_24_textual_featurestextq-german
TextQ-German
TextQ investigates how people perceive the quality of machine-generated German text and how these subjective judgments can be modeled automatically. We identified task-specific quality dimensions, quantified them through user ratings, and developed models that predict perceived quality for new generated texts.
TextQ-German is a dataset suite for studying the Quality of Experience (QoE) of machine-generated German text. It covers two Natural Language… See the full description on the dataset page: https://huggingface.co/datasets/nphamdinh/textq-german.mozilla-common-voice-23-bel-texts-exporttextile-manufacturing-egocentric-sample
🧵 Textile Manufacturing — Egocentric Video Dataset (Sample)
This dataset is part of a larger collection of egocentric activity datasets by Verbose Tech Labs LLP. If you want the full dataset, or want access to more categories? Get in touch with us:
📞 Phone: +91 7672 000 500
💬 WhatsApp: +91 7672 000 500
📧 Email: Hello@VerboseTechLabs.com
🌐 Website: VerboseTechLabs.com
🔗 More datasets: kaggle.com/verbosetechlabsllp
Dataset Summary
First-person point-of-view… See the full description on the dataset page: https://huggingface.co/datasets/VerboseTechLabs/textile-manufacturing-egocentric-sample.short-text-multi-labeled-emotion-classificationtext_in_number_smoltalk
RU
Набор данных содержит в себе текст и его представление в виде 610-ти значного числа. Число полоучено при помощи модели.Исходный набор данных: HuggingFaceTB/smoltalk
EN
The dataset contains text and its representation as a 610-digit number. The number is hollowed out using model.Initial dataset: HuggingFaceTB/smoltalk
ja-toxic-text-classification-open2ch
Open 2ch-based toxic classification dataset
Based on p1atdev/open2ch
We apply keyword-based filtering to collect toxic texts
We use Perspective API to filter non-toxic texts from the original corpus
3k texts for each class, toxic (label=1) and non-toxic (label=0) texts
perspective_api_score is a prediction of toxicity score by the Perspective API
textile-industry-manufacturing-egocentric-sample
🧵 Textile Industry Manufacturing — Egocentric Video Dataset (Sample)
This dataset is part of a larger collection of egocentric activity datasets by Verbose Tech Labs LLP. If you want the full dataset, or want access to more categories? Get in touch with us:
📞 Phone: +91 7672 000 500
💬 WhatsApp: +91 7672 000 500
📧 Email: Hello@VerboseTechLabs.com
🌐 Website: VerboseTechLabs.com
🔗 More datasets: kaggle.com/verbosetechlabsllp
Dataset Summary
First-person… See the full description on the dataset page: https://huggingface.co/datasets/VerboseTechLabs/textile-industry-manufacturing-egocentric-sample.text-auto-illustrate
Text Auto Illustrate — passage-to-image relevance judgements
Relevance judgements for illustrating prose: given a paragraph of Wikipedia
text, which images from a 5.4-million-image collection actually suit it?
Two judgement sets over the same 25 passages — one annotated by hand, one
generated and far broader — plus the metadata for every image either set names,
so the benchmark can be used without downloading the underlying corpus.
Built for a University of Glasgow final-year… See the full description on the dataset page: https://huggingface.co/datasets/domeist/text-auto-illustrate.