datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legal_summarization
LegalSummarization
An MTEB dataset
Massive Text Embedding Benchmark
The dataset consistes of 439 pairs of contracts and their summarizations from https://tldrlegal.com and https://tosdr.org/.
Task category
t2t
Domains
Legal, Written
Reference
https://github.com/lauramanor/legal_summarization
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/legal_summarization.speech-translation-and-summarization
English-Centric Multilingual Audio Dataset
This dataset contains generated article and summary audio for English-centric multilingual directions.
Each direction folder contains metadata JSONL files and corresponding audio files for few_shot and test splits.
Included directions
amharic_english / english_amharic
arabic_english / english_arabic
bengali_english / english_bengali
chinese_simplified_english / english_chinese_simplified
english_english
french_english /… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/speech-translation-and-summarization.legal_case_document_summarization
Dataset Card for LegalCaseDocumentSummarization
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/legal_case_document_summarization.airoboros-summarizationThis is my adaptation and cleaned version of the Booksum dataset to work with Airoboros by Jon Durbin
huggingface
I created this dataset for the purposes of improving the LLM capabilities with summarization. It's a core feature that I feel many applications rely on, yet we're still relying on older Longformer, RoBERTa, or BART solutions.
This dataset has been altered from the original as follows:
Cleaned up bad formatting, extra quotes at the beginning of summaries, extra line breaks, and… See the full description on the dataset page: https://huggingface.co/datasets/mattpscott/airoboros-summarization.summarization-summeval-fr-p2p
SummEval FR
This dataset is a French translation of the original work SummEval.
The translation was made using DeepL from English to French.
We used a LLM to rate the quality of translations, we verified random samples rated above 9/10 manually and corrected all those rated under 9/10. We also checked the correlation of ROUGE and BLEU scores between SummEval and SummEvalFr. For more details about the quality checks of this dataset, please refer to our paper.
We use this dataset… See the full description on the dataset page: https://huggingface.co/datasets/lyon-nlp/summarization-summeval-fr-p2p.text-summarization-logsmeeting-summarization-sft-100k
Meeting Summarization SFT (100K)
100,000 ShareGPT conversations demonstrating structured meeting summarization across 22 meeting types. Each example converts a realistic meeting transcript into a well-organized summary with key decisions, action items, and discussion notes — in the format that professional teams actually use.
Motivation
Meeting transcription tools (Otter.ai, Fireflies, Zoom AI) generate raw text but struggle to produce usable summaries. Common… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/meeting-summarization-sft-100k.news-qa-summarization
NewsQASum, a dataset for question answering and summarization of news
This dataset contains the CNN articles at the overlap between the newsqa question-answering
dataset and the CNN DailyMail summarization dataset. Each article is annotated with
a summary and a list of questions and corresponding answers.
Tasks: QA, summarization, text retrievalGenre: News storiesLanguage: English
ntu_adl_summarizationsummarizationArticlemixtral-malaysian-abstractive-summarization
Mixtral Malaysian Abstractive Summarization
Use https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 to generate abstractive summarization on Malaysian dataset, notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/summarization/mixtral
Example data
{'source': 'gamerbraves.com.jsonl',
'text': 'Hunter x Hunter USJ Collaboration Announced\n\n\nUniversal Studios Japan ( USJ ) has announced a collaboration with popular Shonen anime Hunter x… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/mixtral-malaysian-abstractive-summarization.summarization-fpRandom Subset of the dataset from here
@Article{info13050228,
AUTHOR = {Landro, Nicola and Gallo, Ignazio and La Grassa, Riccardo and Federici, Edoardo},
TITLE = {Two New Datasets for Italian-Language Abstractive Text Summarization},
JOURNAL = {Information},
VOLUME = {13},
YEAR = {2022},
NUMBER = {5},
ARTICLE-NUMBER = {228},
URL = {https://www.mdpi.com/2078-2489/13/5/228},
ISSN = {2078-2489},
ABSTRACT = {Text summarization aims to produce a short summary… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/summarization-fp.mimic-cxr-reports-summarizationbodo-legal-judgment-summarization
Bodo Legal Judgment Summarization Dataset
Overview
This dataset contains Bodo-language legal judgments paired with their
corresponding summaries. It is intended for research on automatic legal
text summarization, low-resource NLP, and Bodo language modeling.
Dataset Structure
Each example contains:
id: Document identifier corresponding to the original TXT filenames.
language: Language of the document (Bodo).
domain: Domain (Legal).
judgment: Full… See the full description on the dataset page: https://huggingface.co/datasets/Mwnthai/bodo-legal-judgment-summarization.cabreu_dolly_summarizationsummarizationtext_summarizationkazakh-news-summarization-20k-adapted
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
kazakh_news_summarization
This dataset contains pairs of Kazakh language prompts and completions focused on summarizing news articles from sources like BAQ.KZ. The content covers diverse topics including social issues, legal cases, government initiatives, and international events within Kazakhstan and abroad. Each entry consists of a standard instruction to summarize text… See the full description on the dataset page: https://huggingface.co/datasets/shayekh/kazakh-news-summarization-20k-adapted.bn_news_summarization
Bengali Abstractive News Summarization (BANS)
Dataset Summary
Nowadays news or text summarization becomes very popular in the NLP field. Both the extractive and abstractive approaches of summarization are implemented in different languages. A significant amount of data is a primary need for any summarization. For the Bengali language, there are only a few datasets are available. Our dataset is made for Bengali Abstractive News Summarization (BANS) purposes. As abstractive… See the full description on the dataset page: https://huggingface.co/datasets/sustcsenlp/bn_news_summarization.plain_english_contracts_summarization
Dataset Card for PlainEnglishContractsSummarization
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/plain_english_contracts_summarization.Dataset_summarizationdocument-summarization-dpo-100k
Document Summarization DPO (100K)
100,000 DPO (Direct Preference Optimization) preference pairs for training models to summarize business and professional documents with precision, structure, and analytical depth.
Motivation
Document summarization is one of the highest-value enterprise AI applications — analysts, lawyers, product managers, and executives use AI to process reports, contracts, and research daily. Models commonly fail by:
Losing quantitative data:… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/document-summarization-dpo-100k.turkish-yargitay-ruling-summarizationsschema-summarization_spider
Dataset Card for schema-summarization_spider
Dataset Description
Dataset Summary
This dataset has been built to train and benchmark models uppon the schema-summarization task. This task aims to generate the smallest schema needed to answer a NL question with the help of the original database schema.
This dataset has been build by crossing these two datasets :
xlangai/spider
richardr1126/spider-schema
With the first dataset we take the natural language… See the full description on the dataset page: https://huggingface.co/datasets/avinot/schema-summarization_spider.indonesian-summarization
Indonesian Summarization
120 pasangan artikel-berita dan ringkasan dalam Bahasa Indonesia. Artikel ditulis asli (bukan salinan berita mana pun) dengan gaya jurnalistik media Indonesia: lead padat, kutipan narasumber, angka dan nama tempat yang realistis. Cocok untuk fine-tuning model ringkas teks, evaluasi abstractive summarization, atau latihan membaca pemahaman.
Isi
120 artikel, masing-masing 150-300 kata
Ringkasan 2-4 kalimat per artikel
8 topik: ekonomi… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-summarization.ect-summarizationhotel-reviews-summarization
Hotel Reviews Summarization Dataset
Dataset for aspect-based opinion summarization of hotel reviews.
Dataset Description
This dataset contains hotel reviews with aspect-based summaries for training abstractive summarization models.
Aspects
rooms
location
service
cleanliness
building
food
Dataset Structure
Training Recipes
Recipe
Description
Entities
Training Examples
synth_100
100 Synthetic samples
100
1800
human_25
25… See the full description on the dataset page: https://huggingface.co/datasets/thanh309/hotel-reviews-summarization.resume-summarization-dataset
Resume Summarization Dataset
This dataset contains machine-generated summaries of 14,505 resumes using gpt-4o-mini. Each entry includes the original resume and a markdown-formatted summary divided into 5 sections.
Structure
Each row is a JSON object with:
resume: The original resume text
summary: The structured markdown summary
input_tokens and output_tokens: (optional) token usage info
License
Some portions of this dataset are derived from public sources… See the full description on the dataset page: https://huggingface.co/datasets/jbeiroa/resume-summarization-dataset.dfm8-synthetic-danish-summarization-rewrite-controls
Danish Summarization and Rewrite Controls
Synthetic DFM8 training data generated with Gemma 4 31B and filtered by deterministic checks plus a Gemma 4 31B judge.
Schema
Rows are JSONL chat records:
{"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Tool-calling rows may also include a top-level tools list and assistant tool_calls.
Counts
accepted rows: 825861
generated rows seen: 4800000
audit rows seen:… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dfm8-synthetic-danish-summarization-rewrite-controls.summarization-ipRandom Subset of the dataset from here
@Article{info13050228,
AUTHOR = {Landro, Nicola and Gallo, Ignazio and La Grassa, Riccardo and Federici, Edoardo},
TITLE = {Two New Datasets for Italian-Language Abstractive Text Summarization},
JOURNAL = {Information},
VOLUME = {13},
YEAR = {2022},
NUMBER = {5},
ARTICLE-NUMBER = {228},
URL = {https://www.mdpi.com/2078-2489/13/5/228},
ISSN = {2078-2489},
ABSTRACT = {Text summarization aims to produce a short summary… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/summarization-ip.