datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Argimi-Ardian-Finance-10k-text
The ArGiMI Ardian datasets : Text-only version
The ArGiMi project is committed to open-source principles and data sharing.
Thanks to our generous partners, we are releasing several valuable datasets to the public.
Dataset description
This text-only dataset comprises 34,000 financial annual reports, written in English, meticulously
extracted from their original PDF format to provide a valuable resource for researchers and developers in financial
analysis and natural… See the full description on the dataset page: https://huggingface.co/datasets/artefactory/Argimi-Ardian-Finance-10k-text.Argimi-Ardian-Finance-10k-text-image
The ArGiMI Ardian datasets : text and images
The ArGiMi project is committed to open-source principles and data sharing.
Thanks to our generous partners, we are releasing several valuable datasets to the public.
Dataset description
This dataset comprises 34,000 financial annual reports, written in English, meticulously
extracted from their original PDF format to provide a valuable resource for researchers and developers in financial
analysis and natural language… See the full description on the dataset page: https://huggingface.co/datasets/artefactory/Argimi-Ardian-Finance-10k-text-image.Korean.OCR.Img.text.pairTextMonkey_Dataspeech_text-tts_audiocc0-textures
Dataset Card for CC0 Textures
Dataset Summary
This dataset contains 18,785 texture images from cc0-textures.com. It includes textures of wood, metal, concrete, fabric, stone, ceramic, and other materials. The original archives were downloaded, unpacked, and images were compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while keeping good quality.
Languages
The dataset is monolingual:
English (en): Texture titles and tags… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/cc0-textures.image-text-pairs-ja-cc0-2
はじめに
このデータセットは画像生成で日本語を生成したいときに使うデータセットです。
ライセンス
CC-0です。著作権を放棄して使いやすくしました。
作り方の概要
gpt-oss-20bを使って、約8万個からなる単語集兼短文集を作りました。
その文章をPillowとPythonでランダム要素を入れながら100万枚と10万枚でレンダリングしました。
フォントはNoto Sans JPなのでライセンス的には問題ないと思います。
Describable-Textures-Datasetqvhighlight_internvideo2_llama_text_featureimage-text-pairs-ja-cc0
Japanese Glyph Images with English Captions (CC0)
This dataset contains Japanese glyph images rendered with black text on white background.
Each .png image has a corresponding .txt file with an English caption:
This image is saying "<Japanese>". The background is white. The letter is black.
Structure
train/ — PNG images and matching TXT captions (same base filename)
provenance/assets_registry.csv — Fonts and license info
LICENSE.txt — CC0-1.0 license
Generation… See the full description on the dataset page: https://huggingface.co/datasets/alfredplpl/image-text-pairs-ja-cc0.text-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Overview
text-to-image-2M is a curated text-image pair dataset designed for fine-tuning text-to-image models. The dataset consists of approximately 2 million samples, carefully selected and enhanced to meet the high demands of text-to-image model training. The motivation behind creating this dataset stems from the observation that datasets with over 1 million samples tend to produce better… See the full description on the dataset page: https://huggingface.co/datasets/rivisia/text-to-image-2M.charade_sta_internvideo2_llama_text_featuretextureninja
Dataset Card for Texture Ninja
Dataset Summary
This dataset contains 4,540 texture images from texture.ninja. It includes high-resolution textures of brick, concrete, rock, wood, metal, paint, plaster, ground materials, and other surfaces. The original images were downloaded, processed, and compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while maintaining good quality.
Languages
The dataset is monolingual:
English (en):… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/textureninja.DreamLIP_short_textqwen2.5-text-to-sql-benchmark-data
Qwen2.5 Text-to-SQL Benchmark Data & Results
This dataset contains Spider benchmark data and evaluation results for fine-tuned Qwen2.5 models.
Contents
qwen-spider-data.tar.gz (1.3MB)
Spider benchmark training data (~7,000 examples)
Spider dev set (1,034 examples)
Table schemas (tables.json)
Official evaluation scripts:
evaluation.py - Official Spider evaluation
process_sql.py - SQL parsing utilities
README.md - Spider benchmark documentation… See the full description on the dataset page: https://huggingface.co/datasets/vindows/qwen2.5-text-to-sql-benchmark-data.mlp-board-yuki-archive-html-textTaken from the yuki archive data. Contains the html text from the /mlp/ board up until a few years ago. It sure would be interesting to have a dataset that's organized by each thread in a spreadsheet separated by row with the posts in the thread separated by column, with the post number in each cell.
TextAtlas5M-CoverBookThis is repacked dataset of https://huggingface.co/datasets/CSU-JPG/TextAtlas5M with "annotations only" / "images only".
AIWD16-Texttext-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Overview
text-to-image-2M is a curated text-image pair dataset designed for fine-tuning text-to-image models. The dataset consists of approximately 2 million samples, carefully selected and enhanced to meet the high demands of text-to-image model training. The motivation behind creating this dataset stems from the observation that datasets with over 1 million samples tend to produce better… See the full description on the dataset page: https://huggingface.co/datasets/Junaid7188/text-to-image-2M.Divehi_text_speech_datasetTeXtract_dataset
TeXtract_dataset (WebDataset Format)
This repository contains approximately 3.2 million pairs of mathematical expression images and their corresponding LaTeX source code, packaged in WebDataset format for large-scale training.
The dataset is based on and derived from the original hoang-quoc-trung/fusion-image-to-latex-datasets, transformed for more efficient access.
📂 Dataset Structure
Each WebDataset shard (.tar) contains multiple samples. Each sample groups files… See the full description on the dataset page: https://huggingface.co/datasets/ToniDO/TeXtract_dataset.qwen-image-text-renderingspeech-to-text1speech-to-textbridge_orig_text_20ktext-to-image-cleanedtext-image-finetune-1k-v2mmcl-textvqa
textvqa
Repo: Chengxiang1122/mmcl-textvqa
Visibility: public
Included archives
archives/train.tar.gz
source: /g/data/cp23/ch3329/data/textvqa/TextVQA_0.5.1_train.json
archives/val.tar.gz
source: /g/data/cp23/ch3329/data/textvqa/TextVQA_0.5.1_val.json
Each archive preserves the original source path contents for the corresponding split.
worldedit_text_filteredsotediffusion-v1-text_onlyWD: SmilingWolf/wd-swinv2-tagger-v3GPU: 1x Intel ARC A770 16 GB
NL: vikhyatk/moondream2GPU: 8x NVIDIA H100 80 GB SXM5
BLIP: Salesforce/xgen-mm-phi3-mini-instruct-r-v1GPU: 1x AMD RX 7900 XTX 24 GB
TEXT: llava-hf/llava-1.5-7b-hfGPU: 1x AMD RX 7900 XTX 24 GB + 1x Intel ARC A770 16 GB
AESTHETICS (Only on WD): shadowlilac/aesthetic-shadow-v2GPU: 1x AMD RX 7900 XTX 24 GB + 1x Intel ARC A770 16 GB
QUALITY (Only on WD):… See the full description on the dataset page: https://huggingface.co/datasets/Disty0/sotediffusion-v1-text_only.