datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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).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.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.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.code_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}
}
text-to-song2spider_text_to_sql
Dataset Card for "spider_text_to_sql"
More Information needed
Text-to-sql-v1text-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.bird_spider_train_text_to_sql
Dataset Card for "bird_spider_train_text_to_sql"
More Information needed
brain-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.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.FC-Text-to-JSON-150kmlb_data_to_textThe MLB dataset for data to text generation contains Major League Baseball games statistics and
their human-written summaries.OCR-Tibetan_line_to_text_benchmark
Tibetan OCR-line-to-text Benchmark Dataset
This repository hosts a line-to-text benchmark dataset to evaluate and compare Tibetan OCR models. The dataset includes diverse scripts, writing styles, and print methods, enabling comprehensive testing across multiple domains.
💽 Datasets Overview
Features:
filename: Name of the file.
label: Ground truth text.
image_url: URL of the image.
BDRC_work_id: BDRC scan id for specific works.
char_len: Character count of the text.
script:… See the full description on the dataset page: https://huggingface.co/datasets/openpecha/OCR-Tibetan_line_to_text_benchmark.darija_speech_to_text700h-tr-turkish-text-to-speechtext-to-sql-shop
Text-to-SQL on a seeded store schema, with checkpoints
Recipe: recipes/04-train/text-to-sql · Collection: Analyst
A question about an online store's database in, one PostgreSQL query out, graded by
a program: run the query, compare the result set to the gold query's result. The
schema (8 tables, seeded, schema.sql + seed.sql), the verifier, the trainer and
the benchmark runner are the
recipes/04-train/text-to-sql
recipe in the open-source whileai SDK.
Splits
|… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/text-to-sql-shop.text-to-image-diffusiondb-2M
DiffusionDB text-to-image subset
A cleaned, safety-filtered image-prompt dataset for training a text-to-image
model, built from DiffusionDB.
Built on Hugging Face Jobs directly from poloclub/diffusiondb. It covers
part_id 1-20 (20,000 source images) before filtering. The same content is
also kept on the 20k-subset branch.
Load it with:
load_dataset("whosouravsharma/text-to-image-diffusiondb-2M")
Note on the repo name: despite "2M" in the name, this is a small slice of… See the full description on the dataset page: https://huggingface.co/datasets/whosouravsharma/text-to-image-diffusiondb-2M.tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified
Text to Terminal, v2 — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned, combined, and thinking-augmented version of muellerzr/text_to_terminal_v2. It pairs natural language instructions with their corresponding terminal/bash commands, now augmented with explicit <think> reasoning traces that model the step-by-step thought process before producing the final command.The restructuring approach is directly… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified.text-to-art-database
Vieutopia T2A Privacy Train v1
Dataset Summary
Privacy-safe text-to-image dataset repacked into Parquet shards with embedded image bytes.
Scope: text-to-image outputs only
Excluded: image-to-image pipelines (pix2pix_*, pst_*)
Privacy: no raw task UUIDs, no user/device fields
Storage format: parquet shards (image as binary bytes), no image_path dependency
Splits
samples
train: 117572
validation: 6532
test: 6532
total: 130636
iterations… See the full description on the dataset page: https://huggingface.co/datasets/quchenyuan/text-to-art-database.