datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stackexchange-clustering
StackExchangeClustering.v2
An MTEB dataset
Massive Text Embedding Benchmark
Clustering of titles from 121 stackexchanges. Clustering of 25 sets, each with 10-50 classes, and each class with 100 - 1000 sentences.
Task category
t2c
Domains
Web, Written
Reference
https://arxiv.org/abs/2104.07081
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/stackexchange-clustering.stack-exchange-preferences
Dataset Card for H4 Stack Exchange Preferences Dataset
Dataset Summary
This dataset contains questions and answers from the Stack Overflow Data Dump for the purpose of preference model training.
Importantly, the questions have been filtered to fit the following criteria for preference models (following closely from Askell et al. 2021): have >=2 answers.
This data could also be used for instruction fine-tuning and language model training.
The questions are grouped with… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceH4/stack-exchange-preferences.StackExchange_Mar2023
Dataset Card for "StackExchange_Mar2023"
More Information needed
stackexchange_2025_mdstackexchange_mds_incremental-tokensstackexchange_filtered
Stack Exchange
Description
StackExchange is a collection of Q&A communities spanning a wide variety of topics.While StackExchange formerly provided structured dumps of all of their content, since July of 2024, StackExchange has stopped publishing XML dumps to the Internet Archive.Instead, each site can provide a logged-in user with a custom URL to download the dump for that site.This means that dumps for defunct sites like windowsphone.stackexchange.com are… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/stackexchange_filtered.stackexchange
Stack Exchange
Description
StackExchange is a collection of Q&A communities spanning a wide variety of topics.
While StackExchange formerly provided structured dumps of all of their content, since July of 2024, StackExchange has stopped publishing XML dumps to the Internet Archive.
Instead, each site can provide a logged in user with a custom url to download the dump for that site.
This means that dumps for defunct sites like windowsphone.stackexchange.com are… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/stackexchange.stackexchange-clustering-p2p
StackExchangeClusteringP2P.v2
An MTEB dataset
Massive Text Embedding Benchmark
Clustering of title+body from stackexchange. Clustering of 5 sets of 10k paragraphs and 5 sets of 5k paragraphs.
Task category
t2c
Domains
Web, Written
Reference
https://arxiv.org/abs/2104.07081
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["StackExchangeClusteringP2P.v2"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/stackexchange-clustering-p2p.stack-exchange-paired
StackExchange Paired
This is a processed version of the HuggingFaceH4/stack-exchange-preferences. The following steps were applied:
Parse HTML to Markdown with markdownify
Create pairs (response_j, response_k) where j was rated better than k
Sample at most 10 pairs per question
Shuffle the dataset globally
This dataset is designed to be used for preference learning. The processing notebook is in the repository as well.
stackexchange_xmlThis is a dump of the files from
https://archive.org/details/stackexchange
downloaded via torrent on 2021-07-01.
Publication date 2021-06-07 Usage Attribution-ShareAlike 4.0 International Creative Commons License by sa Topics Stack Exchange Data Dump Contributor Stack Exchange Community
Please see the license information at:
https://archive.org/details/stackexchange
The dataset has been split into following for cleaner formatting.… See the full description on the dataset page: https://huggingface.co/datasets/flax-sentence-embeddings/stackexchange_xml.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.physics-stackexchangestackexchange_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.stack-exchange-instruction
Dataset Card for "stack-exchange-instruction"
More Information needed
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.stack-exchange-preferences-code
Dataset Card for "stack-exchange-preferences-code"
More Information needed
stackexchangestackexchange-markdown
Marin Markdownified StackExchange
Markdownified Stack Exchange transforms the Stack Exchange's question-answer pairs into Markdown format consisting of 20.4B tokens. This dataset preserves the content contained in technical discussions while organizing it into a thread format for language model training.
Value
Tokens
20 413 785 853
Primary source
https://archive.org/details/stackexchange
File format
JSONL
License
CC (mirrors upstream SE licenses)… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/stackexchange-markdown.stack-exchange-preferences-20230914-clean-anonymization
Dataset Card for "stack-exchange-preferences-20230914-clean-anonymization"
More Information needed
stack-exchange-preferences-code-v2
Dataset Card for "stack-exchange-preferences-code-v2"
More Information needed
unprocessed_stackexchange_datastackexchange_math_jsonlThis new dataset is designed to solve this great NLP task and is crafted with a lot of care.stack-exchange-datasetoa-stackexchange
Stackexchange Instructions for OpenAssistant
This dataset is taken from https://archive.org/details/stackexchange.
There's a single parquet file combining all stackexchange sites. The threads
have been filtered as follows: only threads with an accepted answer, for which
both the question and response is less than 1000 characters have been choosen.
Other answers, or questions without accepted answers, or long entries have been
droppped.
Each row consists of
INSTRUCTION
RESPONSE… See the full description on the dataset page: https://huggingface.co/datasets/donfu/oa-stackexchange.law-stack-exchange
Dataset Card for Law Stack Exchange Dataset
Dataset Summary
Dataset from the Law Stack Exchange, as used in "Parameter-Efficient Legal Domain Adaptation".
Citation Information
@inproceedings{li-etal-2022-parameter,
title = "Parameter-Efficient Legal Domain Adaptation",
author = "Li, Jonathan and
Bhambhoria, Rohan and
Zhu, Xiaodan",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2022",
month = dec… See the full description on the dataset page: https://huggingface.co/datasets/jonathanli/law-stack-exchange.stackexchange-all
StackExchange All Communities — Preprocessed
All 362 StackExchange communities (including Stack Overflow) processed into
QA pairs and standalone questions, ready for LLM pretraining and instruction tuning.
Stats
Field
Value
Communities
362
Dump date
March 2026
License
CC-BY-SA 4.0
Record Types
instruction — Question + Answer pair (qa_pair)
text — Unanswered question (standalone)
Format
{
"id": "uuid-v4"… See the full description on the dataset page: https://huggingface.co/datasets/raj2708/stackexchange-all.stackexchange
Dataset Card for "stackexchange"
More Information needed
law_stackexchange_prompts
Dataset Card for "law_stackexchange_prompts"
More Information needed
smollm3-stackexchange
Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior
This repository contains pre-processed datasets used in the paper Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior.
The datasets include pre-pretraining (PPT) data and pre-training (PT) data mixtures used across multiple model scales and configurations. For full details on dataset composition, preprocessing, and training, please refer to the GitHub repository.
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/verify-ppt/smollm3-stackexchange.