datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tests-raw-jsonlraw_jsonlwdc-common-crawl-embedded-jsonldner-jsonlwsinfer-model-zoo-jsonThis is the registry of models in the WSInfer Model Zoo.
See https://wsinfer.readthedocs.io/en/latest/ and https://github.com/SBU-BMI/wsinfer-zoo for more information.
format-jsonlformat-jsondoc-formats-jsonl-1
[doc] formats - jsonl - 1
This dataset contains one jsonl file at the root.
JSONSchemaBench
JSONSchemaBench
JSONSchemaBench is a benchmark of real-world JSON schemas designed to evaluate structured output generation for Large Language Models (LLMs). It contains approximately 10,000 JSON schemas, capturing diverse constraints and complexities.
import datasets
from datasets import load_dataset
def main():
# Inspect the available subsets of the datasetall_subsets = datasets.get_dataset_config_names("epfl-dlab/JSONSchemaBench")
print("Available subsets:"… See the full description on the dataset page: https://huggingface.co/datasets/epfl-dlab/JSONSchemaBench.stackexchange_title_best_voted_answer_jsonlThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.stackexchange_titlebody_best_voted_answer_jsonlThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.SciLaD-all-json-v1
SciLaD (JSON)
SciLaD is a novel, large-scale dataset of scientific language constructed entirely using open-source frameworks and publicly available data sources. It comprises a curated English split containing over 10 million scientific publications and a multilingual, unfiltered TEI XML split including more than 35 million publications. We also publish the extensible pipeline for generating SciLaD.
Dataset Details
In this repository we share the full… See the full description on the dataset page: https://huggingface.co/datasets/scilons/SciLaD-all-json-v1.stackexchange_title_body_jsonljsonl.gz format from https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml
Each line contains a dict in the format: {"text": ["title", "body"], "tags": ["tag1", "tag2"]}
The following parameters have been used for filtering: min_title_len = 20 min_body_len = 20 max_body_len = 4096 min_score = 0
If a stackexchange contained less than 10k questions (after filtering), it is written to the small_stackexchanges.jsonl.gz file.
This is a dump of the files from… See the full description on the dataset page: https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_title_body_jsonl.sharegpt-quizz-generation-json-output
ShareGPT-Formatted Dataset for Quizz Generation in Structured JSON Output
Dataset Description
This dataset is formatted in the ShareGPT style and is designed for fine-tuning large language models (LLMs) to generate quizz in structured JSON outputs. It consists of multi-turn conversations where each response follows a predefined JSON schema, making it ideal for training models that need to produce structured data in natural language scenarios.
Usage
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Arun63/sharegpt-quizz-generation-json-output.stackexchange_titlebody_best_and_down_voted_answer_jsonlThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.sharegpt-structured-output-json
ShareGPT-Formatted Dataset for Structured JSON Output
Dataset Description
This dataset is formatted in the ShareGPT style and is designed for fine-tuning large language models (LLMs) to generate structured JSON outputs. It consists of multi-turn conversations where each response follows a predefined JSON schema, making it ideal for training models that need to produce structured data in natural language scenarios.
Usage
This dataset can be used to train LLMs… See the full description on the dataset page: https://huggingface.co/datasets/Arun63/sharegpt-structured-output-json.json-mode-evalstackexchange_math_jsonlThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.desktop-accessibility-screenshot-json-dumpsdanbooru_jsonaitf-dfk3-vlm-dataset-jsonlweb-ui-grounding-jsonconceptual_captions_jsonTravelUAV_data_jsonhome-commands-json-v1
Home Commands JSON v1
English and Romanized Hindi/Hinglish home commands mapped to structured JSON.
This release contains the exact source and processed snapshot associated
with Superfast Tiny Home Robotics JSON 1M v1.
It also includes a separately authored evaluation challenge set. Native-script
Hindi appears only in a small later diagnostic, not as a supported training
language claim.
Publisher: sraivante. Release date: 2026-09-25. Version: v1.0.2.
Configurations… See the full description on the dataset page: https://huggingface.co/datasets/sraivante/home-commands-json-v1.jsonl-mls-hubert_large_ll60k-layer_22USDA-Phytochemical-Database-JSON
Ethno-API v2.4.0 — Public Sample
Hugging Face hosts a 400-row public sample of Ethno-API v2.4.0: a cleaned and enriched phytochemical data-engineering project derived from the USDA Dr. Duke source data.The full project contains 76,907 records, 2,313 plant species, 24,746 unique chemical entities, and a 16-field public schema with PubMed, ClinicalTrials.gov, ChEMBL, PatentsView, PubChem CID/SMILES, and partner-assisted CID/IUPAC resolution fields.QA-gated public dataset… See the full description on the dataset page: https://huggingface.co/datasets/wirthal1990-tech/USDA-Phytochemical-Database-JSON.cfr-rag-jsonECFR from 06/2025
pseudo-camera-10k-structured-json
pseudo-camera-10k, structured JSON captions
The 9,997 training images from bghira/pseudo-camera-10k, recaptioned into the structured JSON caption schema that Ideogram 4 consumes. The images are unchanged: free photographs from world class photographers, Lanczos-resized so the shorter edge is 1024px, nothing upsampled.
The original dataset carries short CogVLM prose captions. This one replaces them with one JSON object per image describing the scene at three levels: an overall… See the full description on the dataset page: https://huggingface.co/datasets/terminusresearch/pseudo-camera-10k-structured-json.Ascend-COT-v2-json
AscendKernelGen/Ascend-COT-v2-json
AscendKernelGen/Ascend-CoT-v2-json contains a subset of the full Ascend-CoT dataset, which will be released in stages. The Ascend-CoT Dataset is a high-quality, domain-specific dataset that incorporates Chain-of-Thought (CoT) reasoning derived from real-world kernel implementations. It combines three types of reasoning: documentation-based reasoning, code-centric reasoning extracted from actual NPU kernel code, and general reasoning chains that… See the full description on the dataset page: https://huggingface.co/datasets/AscendKernelGen/Ascend-COT-v2-json.