datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
text-to-image-promptsIf you have questions about this dataset , feel free to ask them on the fusion-discord : https://discord.gg/8TVHPf6Edn
This collection contains sets from the fusion-t2i-ai-generator on perchance.
This datset is used in this notebook: https://huggingface.co/datasets/codeShare/text-to-image-prompts/tree/main/Google%20Colab%20Notebooks
To see the full sets, please use the url "https://perchance.org/" + url
, where the urls are listed below:
_generator
gen_e621
fusion-t2i-e621-tags-1… See the full description on the dataset page: https://huggingface.co/datasets/codeShare/text-to-image-prompts.code_x_glue_ct_code_to_text
Dataset Card for "code_x_glue_ct_code_to_text"
Dataset Summary
CodeXGLUE code-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Text/code-to-text
The dataset we use comes from CodeSearchNet and we filter the dataset as the following:
Remove examples that codes cannot be parsed into an abstract syntax tree.
Remove examples that #tokens of documents is < 3 or >256
Remove examples that documents contain special tokens (e.g. <img ...> or… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_ct_code_to_text.synthetic_text_to_sql
Image generated by DALL-E. See prompt for more details
synthetic_text_to_sql
gretelai/synthetic_text_to_sql is a rich dataset of high quality synthetic Text-to-SQL samples,
designed and generated using Gretel Navigator, and released under Apache 2.0.
Please see our release blogpost for more details.
The dataset includes:
105,851 records partitioned into 100,000 train and 5,851 test records
~23M total tokens, including ~12M SQL tokens
Coverage across 100 distinct… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/synthetic_text_to_sql.xlcost-text-to-code XLCoST is a machine learning benchmark dataset that contains fine-grained parallel data in 7 commonly used programming languages (C++, Java, Python, C#, Javascript, PHP, C), and natural language (English).surya-ocr-500-image-to-texttext-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Citation
@article{zou2026advancing,
title = {Advancing Aesthetic Image Generation via Composition Transfer},
author = {Zou, Kai and Zhao, Zhiwei and Liu, Bin and Yu, Nenghai},
journal = {International Journal of Computer Vision},
volume = {134},
pages = {252},
year = {2026},
doi = {10.1007/s11263-026-02862-8},
url = {https://doi.org/10.1007/s11263-026-02862-8}… See the full description on the dataset page: https://huggingface.co/datasets/jackyhate/text-to-image-2M.github-jupyter-code-to-text
Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs
from this dataset that were originally code and markdown cells in Jupyter Notebooks.
The content of each example the following:
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
[CODE]
"""
Explanation: [TEXT]
End of explanation
"""
...
How to use it
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text.SQaLe-text-to-SQL-dataset
🧮 SQALE: A Large-Scale Semi-Synthetic Dataset
SQALE is a large-scale, semi-synthetic Text-to-SQL dataset grounded in real-world database schemas.
It was designed to push the boundaries of natural language to SQL generation, combining realistic schema diversity, complex query structures, and linguistically varied natural language questions.
The dataset was introduced in the paper SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas. The code for the generation pipeline of this… See the full description on the dataset page: https://huggingface.co/datasets/trl-lab/SQaLe-text-to-SQL-dataset.code_x_glue_tc_text_to_code
Dataset Card for "code_x_glue_tc_text_to_code"
Dataset Summary
CodeXGLUE text-to-code dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Code/text-to-code
The dataset we use is crawled and filtered from Microsoft Documentation, whose document located at https://github.com/MicrosoftDocs/.
Supported Tasks and Leaderboards
machine-translation: The dataset can be used to train a model for generating Java code from an English natural… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_tc_text_to_code.100000_text_to_sqltext-to-speech-human-preferences-315k
Text-to-speech human preferences: 315K votes across 15 models
This gated dataset contains the evaluation record behind Datapoint Audio
Bench: 315,000 eligible pairwise votes comparing 15 text-to-speech
models in a complete round-robin over 300 English prompts. The prompt set
covers eight practical voice-agent categories, and every generated sample is
included as a typed audio record.
The source evaluation collected 357,651 completed responses. The published
benchmark excluded… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-to-speech-human-preferences-315k.700h-tr-turkish-text-to-speechcode_x_glue_tt_text_to_text
Dataset Card for "code_x_glue_tt_text_to_text"
Dataset Summary
CodeXGLUE text-to-text dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Text-Text/text-to-text
The dataset we use is crawled and filtered from Microsoft Documentation, whose document located at https://github.com/MicrosoftDocs/.
Supported Tasks and Leaderboards
machine-translation: The dataset can be used to train a model for translating Technical documentation between… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_tt_text_to_text.gretel-synthetic-text-to-sql
Fork of gretelai/synthetic_text_to_sql
The gretelai/synthetic_text_to_sql dataset is a large, Apache 2.0 licensed, synthetic Text-to-SQL dataset consisting of 105,851 high-quality records across 100 diverse domains, designed for training language models. It includes comprehensive SQL tasks with varying complexities, database contexts, natural language explanations, and contextual tags, outperforming existing datasets in SQL correctness and standards compliance.
bird_text_to_sql
Dataset Card for "bird_text_to_sql"
More Information needed
nejm-brain-to-text-sonified-istft
NEJM Brain-to-Text Sonified (iSTFT)
Pre-shuffled dataset (seed: 42) at 16kHz, 0-8000Hz range.
Sharded into 1000 files per shard for efficient loading.
Usage
from datasets import load_dataset
ds = load_dataset("ljcamargo/nejm-brain-to-text-sonified-istft")
spider-text-to-sql
Spider Text-to-SQL with LLM-Judge Labels
This dataset extends Spider 1.0 with SQL predictions from gpt-5.4-mini and two correctness labels per example: a hybrid ground truth label and an LLM judge label from gpt-5.4.
Files
File
Description
spider_dataset.parquet
Full dataset with predictions and labels
scripts/
Reproduction scripts (see below)
Dataset statistics
Source: Spider 1.0 training split (train_spider.json)
Databases: the… See the full description on the dataset page: https://huggingface.co/datasets/Glide-py/spider-text-to-sql.Text_to_Image
Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
exp01-eeg-to-text-sentences
Exp01 — Sentence-level EEG-to-text training data (unified)
This is a private working corpus for experiment 1 (fine-tuning EEG / time-series
foundation models on EEG-to-English-text). It bundles several public EEG-while-reading
datasets into a single, raw-lossless parquet schema where one row = one sentence read by
one participant.
⚠️ License: Per-source licenses are preserved verbatim in each row's license
column and source_url. Do not re-distribute publicly without re-checking the… See the full description on the dataset page: https://huggingface.co/datasets/tankalapavankalyan/exp01-eeg-to-text-sentences.style-to-textText-to-sql-v1spider_text_to_sql
Dataset Card for "spider_text_to_sql"
More Information needed
Speech-To-Text-System-Prompts-2
Speech To Text System Prompt Library
This repository provides a collection of system prompts designed to transform and refine text captured using speech-to-text technologies.
By passing STT outputs through large language models with these specialized prompts, you can achieve cleaner, more structured, and purpose-specific text formats.
📋 The Idea
Here is the basic implementation. I don't pretend that this is the stuff of high AI engineering. But it does create quite… See the full description on the dataset page: https://huggingface.co/datasets/danielrosehill/Speech-To-Text-System-Prompts-2.surya-ocr-1K-image-to-textbird_spider_train_text_to_sql
Dataset Card for "bird_spider_train_text_to_sql"
More Information needed
text-to-image-prompts
The dataset of the most popular text-to-image prompts.
Dataset Details
Dataset Description
Curated by: kazimir.ai
Funded by [optional]: [More Information Needed]
Shared by [optional]: https://kazimir.ai
License: apache-2.0
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Free to use.
Dataset Structure
CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Kazimir-ai/text-to-image-prompts.text-to-song2brain-to-text-25-text-cleaned
An Accurate and Rapidly Calibrating Speech Neuroprosthesis
The New England Journal of Medicine (2024)
Nicholas S. Card, Maitreyee Wairagkar, Carrina Iacobacci,
Xianda Hou, Tyler Singer-Clark, Francis R. Willett,
Erin M. Kunz, Chaofei Fan, Maryam Vahdati Nia,
Darrel R. Deo, Aparna Srinivasan, Eun Young Choi,
Matthew F. Glasser, Leigh R. Hochberg,
Jaimie M. Henderson, Kiarash Shahlaie,
Sergey D. Stavisky*, and David M. Brandman*.
Text labels are represented as ASCII.
Phoneme labels… See the full description on the dataset page: https://huggingface.co/datasets/riverjiang/brain-to-text-25-text-cleaned.mlb_data_to_textThe MLB dataset for data to text generation contains Major League Baseball games statistics and
their human-written summaries.FC-Text-to-JSON-150k