datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RyokoAI_CNNovel125K
Dataset Card for CNNovel125K
The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.
Dataset Summary
CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site http://ibiquw.com.
Supported Tasks and Leaderboards
This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.… See the full description on the dataset page: https://huggingface.co/datasets/botp/RyokoAI_CNNovel125K.CNNovel125K
Dataset Card for CNNovel125K
The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.
Dataset Summary
CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site http://ibiquw.com.
Supported Tasks and Leaderboards
This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.… See the full description on the dataset page: https://huggingface.co/datasets/qqceqqq/CNNovel125K.CNNovel125K
Dataset Card for CNNovel125K
The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.
Dataset Summary
CNNovel125K is a dataset composed of approximately 125,000 novels downloaded from the Chinese novel hosting site http://ibiquw.com.
Supported Tasks and Leaderboards
This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.… See the full description on the dataset page: https://huggingface.co/datasets/beiwoshuisheng/CNNovel125K.cnn_dailymail
CNN_Dailymail
This repository hosts a copy of the CNN_Dailymail dataset, a large-scale dataset designed for evaluating abstractive text summarization systems.
CNN_Dailymail consists of news articles paired with human-written summaries, commonly used for training and evaluating models on summarization tasks. It contains articles from CNN and Daily Mail, covering a wide range of topics.
Contents
cnn_dailymail.jsonl (or your actual filename): the standard set of news… See the full description on the dataset page: https://huggingface.co/datasets/S3IC/cnn_dailymail.CNNSum
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
Paper GitHub
[2025.5] - Accepted to Findings of ACL 2025
[2025.1] - Add inference script
[2024.12] - CNNSum Dataset Release
We are excited to announce the release of the CNNSum dataset!
As outlined in Section 3.1 and Appendix E of our paper, we have conducted a final round of manual cleaning to address any possible omissions. This process affects only a… See the full description on the dataset page: https://huggingface.co/datasets/CxsGHost/CNNSum.cnn_muffins
CNN Muffins
A compact dog-versus-muffin image-classification dataset built around the
well-known visual confusion between Chihuahua faces and blueberry muffins.
Dataset structure
Split
Dogs
Muffins
Total
Train
319
161
480
Validation
36
18
54
Hard-16 benchmark
8
8
16
The hard-16 benchmark is isolated from train and validation. The JSONL files
use repository-relative image paths:
The benchmark labels follow the original 4x4 checkerboard layout… See the full description on the dataset page: https://huggingface.co/datasets/VatsaDev/cnn_muffins.moral-dilemma-responses
Moral Dilemma Responses Dataset
17,290 natural language responses to moral dilemmas from princi/pal, a Tamagotchi-like game where players guide a virtual pet through ethical decisions.
Presented at NeurIPS 2025 Creative AI track.
What is this?
Players advise a virtual pet on moral dilemmas ranging from "Should I pick up trash?" to "Should you lie in court to defend a friend?". The pet evolves based on the guidance and eventually makes autonomous moral decisions.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/cnnmon/moral-dilemma-responses.cnn-daily-grammar
Grammar-Enhanced CNN/DailyMail Dataset
Dataset Description
Dataset Summary
The Grammar-Enhanced CNN/DailyMail dataset extends the original CNN/DailyMail dataset with detailed grammatical analysis of each article. This enhancement was generated using the Qwen2.5-7B-Instruct-Turbo model, which analyzed the grammatical structure, relationships, and narrative flow of each article. The dataset provides rich structural information that can be valuable for tasks such… See the full description on the dataset page: https://huggingface.co/datasets/ambrosfitz/cnn-daily-grammar.translated-cnn-dailymailshivam9980__mistral-7b-news-cnn-merged-details
Dataset Card for Evaluation run of shivam9980/mistral-7b-news-cnn-merged
Dataset automatically created during the evaluation run of model shivam9980/mistral-7b-news-cnn-merged
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/shivam9980__mistral-7b-news-cnn-merged-details.cnn-dailymail-27k-jaThis dataset was created by automatically translating part of "cnn_dailymail" into Japanese.
cnn_dailymail repositoryhttps://github.com/abisee/cnn-dailymail
cnn_dailymailhttps://huggingface.co/datasets/cnn_dailymail
cnn_dailymail_processedcnn_with_fragmentsCNNDMcnndm-filteredCNN/DailyMail dataset filtered by using the code by Aumiller et al. (1) available at https://github.com/dennlinger/summaries/tree/main
min_length_summary = 18; min_length_reference = 150; length_metric = "whitespace"
bi-gram_overlap_fraction between summary and original text <= 0.630
min_compression_ratio = 2.5
Moreover:
- all articles longer than 512 tokens were removed from the dataset.
- Each line break ("\n") inside of a highlight was replaced by an empty space (" ").
(1):… See the full description on the dataset page: https://huggingface.co/datasets/giuliadc/cnndm-filtered.CNN-Train-Neg-2774cnn_dailymail_tinyThis dataset is a subset of https://huggingface.co/datasets/cnn_dailymail.
The training set is composed of 2,000 examples of the original training set and the test set is composed of 1,000 examples of the original validation set.
We use the version 1.0.0 of the CNN/DailyMail dataset.
cnn-sys-replacedCNNdaily-Alpca-finetune150050k_cnndaily_grammarcn_nlicnndm_5kTo create this dataset, the test split of CNN DAILYMAIL was filtered by using the code by Aumiller et al. (1) available at https://github.com/dennlinger/summaries/tree/main with following settings:
min_length_summary = 18; min_length_reference = 250; length_metric = "whitespace"
min_compression_ratio = 2.5
Furthermore:
line breaks: every \n in the reference summaries (column "reference-summary") was replaced by a space. The articles (column "text") did not contain any line breaks
non-breaking… See the full description on the dataset page: https://huggingface.co/datasets/giuliadc/cnndm_5k.Hydrus-CNN-Summaries-InstructCNN-Train-5548sft-cnn-dailymailcnnCNN_datasetTEXT CLASSIFICATION
Testing on: https://huggingface.co/spaces/MINHCT/Classification
Training Data Category Distribution
Here's a breakdown of the number of articles in each category:
Sport: 5638
Health: 4547
Entertainment: 2658
Politics: 2461
Business: 1362
Copyright © 2024
Meet the minds behind the work!
Trần Thanh Phước (Mentor)
Lương Ngọc Phương (Member)
Trịnh Cẩm Minh (Member)
license: mit
task_categories:
-… See the full description on the dataset page: https://huggingface.co/datasets/npphuong210/CNN_dataset.cnn-summaries-instructabisee/cnn_dailymail converted to turn-based instructions to summarize the articles.