datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
civil_comments
Dataset Card for "civil_comments"
Dataset Summary
The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data… See the full description on the dataset page: https://huggingface.co/datasets/google/civil_comments.jigsaw-toxic-comment-classification-challenge
Dataset Description
You are provided with a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are:
toxic
severe_toxic
obscene
threat
insult
identity_hate
You must create a model which predicts a probability of each type of toxicity for each comment.
File descriptions
train.csv - the training set, contains comments with their binary labels
test.csv - the test set, you must predict the toxicity… See the full description on the dataset page: https://huggingface.co/datasets/thesofakillers/jigsaw-toxic-comment-classification-challenge.pushshift-reddit-comments
Dataset Card for "pushshift-reddit"
More Information needed
pali-commentary-thai-script-siamrath-version
Multi-File CSV Dataset
คำอธิบาย
อรรถกถาบาลี อักษรไทยฉบับสยามรัฏฐ จำนวน ๔๘ เล่ม
ชุดข้อมูลนี้ประกอบด้วยไฟล์ CSV หลายไฟล์
01/010001.csv: เล่ม 1 หน้า 1
01/010002.csv: เล่ม 1 หน้า 2
...
02/020001.csv: เล่ม 2 หน้า 1
คำอธิบายของแต่ละเล่ม
เล่ม ๑: วินยฏฺกถา (สมนฺตปาสาทิกา ๑)
เล่ม ๒: วินยฏฺกถา (สมนฺตปาสาทิกา ๒)
เล่ม ๓: วินยฏฺกถา (สมนฺตปาสาทิกา ๓)
เล่ม ๔: ทีฆนิกายฏฺกถา (สุมงฺคลวิลาสินี ๑)
เล่ม ๕: ทีฆนิกายฏฺกถา (สุมงฺคลวิลาสินี ๒)
เล่ม ๖: ทีฆนิกายฏฺกถา… See the full description on the dataset page: https://huggingface.co/datasets/uisp/pali-commentary-thai-script-siamrath-version.mm2_level_comments
Mario Maker 2 level comments
Part of the Mario Maker 2 Dataset Collection
Dataset Description
The Mario Maker 2 level comment dataset consists of 31.9 million level comments from Nintendo's online service totaling around 20GB of data. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022.
How to use it
The Mario Maker 2 level comment dataset is a very large dataset so for most use cases it is recommended to… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_level_comments.hackernews-comments
Hackernews Comments Dataset
A dataset of all HN API items from id=0 till id=41422887 (so from 2006 till 02 Sep 2024). The dataset is build by scraping the HN API according to its official schema and docs. Scraper code is also available on github: nixiesearch/hnscrape
Dataset contents
No cleaning, validation or filtering was performed. The resulting data files are raw JSON API response dumps in zstd-compressed JSONL files. An example payload:
{
"by": "goldfish"… See the full description on the dataset page: https://huggingface.co/datasets/nixiesearch/hackernews-comments.treaty-bodies-general-comments
Treaty Bodies General Comments
A paragraph-level dataset of General Comments and General Recommendations
adopted by the nine UN human-rights Treaty Bodies, with concerned-group
labels and document metadata. Companion to the
UNHRD search interface.
Licence
The curated dataset (paragraph segmentation, label annotation, document
metadata enrichment, footnote and section work) is released under
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International… See the full description on the dataset page: https://huggingface.co/datasets/lszoszk/treaty-bodies-general-comments.Youtube_news_comments_analysis_ver2
YouTube 뉴스 댓글 감정 분석 — 최종 통합본
기존 분석과 2026-10-07 추가 분석을 댓글 생성일 기준으로 통합했습니다.
총 74,136,841개 댓글, 2014-04-21~2026-09-29, 관측 날짜 3,467일.
구조와 날짜
final/raw/json/YYYY/MM/01-10/news_comments.parquet
final/raw/json/YYYY/MM/11-20/news_comments.parquet
final/raw/json/YYYY/MM/21-말일/news_comments.parquet
경로와 파일 내 날짜 정렬 기준은 **dataset_date(댓글 작성일)**입니다. 윤년과 실제 말일을 반영합니다.
news_date와 기존 호환용 date는 영상 게시일입니다. 댓글 시계열 집계에 사용하지 마세요.
신규 원본 comment_created_at, video_uploaded_at은 UTC 시각입니다.… See the full description on the dataset page: https://huggingface.co/datasets/MindCastSogang/Youtube_news_comments_analysis_ver2.reddit-comments-uwaterloo--- Generated Part of README Below ---
Dataset Overview
The goal is to have an open dataset of r/uwaterloo submissions, leveraging PRAW and the Reddit API to get downloads.
Posts are here
Comments are here
Creation Details
This dataset was created by alvanlii/dataset-creator-reddit-uwaterloo
Update Frequency
The dataset is updated custom with the most recent update being 2024-12-12 23:00:00 UTC+0000 where we added 72 new rows.
Licensing… See the full description on the dataset page: https://huggingface.co/datasets/alvanlii/reddit-comments-uwaterloo.RedditDataFor353_2026_COMMENTSyoutube-comment-sentiment
YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments)
Overview
This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks.
How to use:
import pandas as pd
df =… See the full description on the dataset page: https://huggingface.co/datasets/AmaanP314/youtube-comment-sentiment.tiktok-product-video-comments
TikTok Product Video Comments 2026
999,930 TikTok comments and inline replies from 17,730 product videos across 12 shopping categories, collected September 10-13, 2026. This is the corpus behind Crawlora's study 17,774 TikTok 'Where Did You Get That?' Comments: Who Gets an Answer.
Files
File
Rows
Bytes
SHA-256
data/videos.parquet
17,730
4,229,777
5aef621072ada8ff852007e810532c13069b3244ffae6c4fe47ff32549e83020
data/comments.parquet
999,930
81,410,979… See the full description on the dataset page: https://huggingface.co/datasets/crawlora-net/tiktok-product-video-comments.Jigsaw-Toxic-Comments
Jigsaw Toxic Comments — canonical 2017–2018 Kaggle release
A verbatim mirror of the Jigsaw Toxic Comment Classification Challenge training and test data, repackaged as three gzip-compressed CSVs. No rows added, removed, or reordered relative to the upstream Kaggle release — only the hosting moved and each file was gzipped.
Re-hosted under Heliosoph for ingestion-pipeline stability — the upstream files live behind Kaggle's competition-rules click-through and require an… See the full description on the dataset page: https://huggingface.co/datasets/Heliosoph/Jigsaw-Toxic-Comments.russian-toxic-comments-multilabel
Russian Toxic Comments Multi-label Dataset
Dataset Description
Этот датасет содержит размеченные комментарии на русском языке для задачи многозадачной (multi-task) и мультилейбл (multi-label) бинарной классификации токсичности.
Цель
Обучение модели для автоматического обнаружения трех типов токсичного контента:
Profanity (ненормативная лексика) — мат, оскорбления, нецензурная брань
Threat (угрозы) — явные или скрытые угрозы в адрес других людей… See the full description on the dataset page: https://huggingface.co/datasets/IvanFed/russian-toxic-comments-multilabel.swiss-law-commentary
Swiss Law Commentary Dataset
Open-access, AI-generated legal commentary on 8 Swiss federal laws.
Source: openlegalcommentary.ch
Laws: BV, ZGB, OR, ZPO, StGB, StPO, SchKG, VwVG
Layers: Summary (B1 level), Doctrine (academic), Case Law (BGE digest)
Languages: DE, FR, IT, EN
Articles exported: 215
License: CC BY-SA 4.0
Built with ♥ by Jonas Hertner
Files
One JSONL file per law (e.g., or.jsonl, zgb.jsonl).
Schema
Field
Type
Description
law… See the full description on the dataset page: https://huggingface.co/datasets/voilaj/swiss-law-commentary.civil_comments
Dataset Card for "civil_comments"
Dataset Summary
The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data… See the full description on the dataset page: https://huggingface.co/datasets/abdulahad-dev/civil_comments.Korean-YouTube-Comment-Sentiment-Dataset
Korean YouTube Comment Sentiment Dataset
Data Overview
Summary
본 데이터셋은 유튜브에서 수집된 한국어 댓글 5,482개와 이에 대응하는 감정 레이블(긍정, 부정, 중립, 불명확)로 구성된 감정 분류용 데이터셋입니다.
주요 레이블: 긍정, 부정, 중립, 불명확
Features
수집 대상: 요리, 뷰티, 게임, 여행, 쇼핑 등 분야의 10만 명 이상 구독자를 보유한 유튜브 채널
형식: JSON (id, text, label)
검수: 한국인 검수자에 의한 수작업 라벨링 및 교차 검토
본 데이터셋은 구어체, 이모지, 줄임말 등 실제 사용자 표현이 반영되어 있습니다.
Dataset Structure
Dataset Fields
Field
Type
Description
id
string
각 댓글의… See the full description on the dataset page: https://huggingface.co/datasets/LLM-SocialMedia/Korean-YouTube-Comment-Sentiment-Dataset.naruto-reddit-commentsThis dataset is extracted from Reddit datasets for research purpose
cricket-commentary-ball-datareddit-comments-sample
Reddit Comment Trees Sample — Initial snapshot
Initial sample: 43,913 posts and 59,874 comments across three communities.
This is a selected, structurally checked snapshot, with incomplete subreddit coverage. It is not a complete three-month archive.
Overview
Posts and associated comments from r/LocalLLaMA, r/wallstreetbets, and r/SkincareAddiction.
The requested post window is June 1–August 31, 2026 in Asia/Shanghai, with UTC bounds 2026-05-31 16:00:00… See the full description on the dataset page: https://huggingface.co/datasets/mashu-data/reddit-comments-sample.Charlie-Kirk-comments
Dataset Summary
This dataset is used in the following Github repository: "Charlie-Kirk-comments-sentiment-analysis".
This dataset contains Reddit comments related to Charlie Kirk, founder of Turning Point USA, from 11-2024 to 10-2025,
which includes the event of his death in 10th September 2025.
Charlie Kirk was a highly polarizing political figure in the United States, often drawing both strong support and harsh criticism.
Following his death, many media platforms, included… See the full description on the dataset page: https://huggingface.co/datasets/Proyecto-charlie-kirk-reddit/Charlie-Kirk-comments.civil_comments
Dataset Card for "civil_comments"
Dataset Summary
The comments in this dataset come from an archive of the Civil Comments
platform, a commenting plugin for independent news sites. These public comments
were created from 2015 - 2017 and appeared on approximately 50 English-language
news sites across the world. When Civil Comments shut down in 2017, they chose
to make the public comments available in a lasting open archive to enable future
research. The original data… See the full description on the dataset page: https://huggingface.co/datasets/asdfceeegdag/civil_comments.vk-post-comment-replies-translatedbangla-youtube-comments-sentiment
Bangla YouTube Comments Sentiment
271,902 public YouTube comments in Bangla: Bengali script and romanized
Bangla ("Banglish"). Each comment is labeled negative, neutral or positive, for
building and testing Bangla sentiment classifiers.
These are silver (machine-generated) labels. The train/validation/test labels were
predicted by an open model, not by human annotators. Expect about
78% of them to be correct overall, and about
84% of those with confidence >= 0.8. See
Label… See the full description on the dataset page: https://huggingface.co/datasets/irfanhossainsust/bangla-youtube-comments-sentiment.VOZ-HSD-Hate-Comments
Dataset Card for Dataset Name
A subset of VOZ-HSD dataset, consisting of only hate comments (labels: '1').For more information on the original dataset:
https://huggingface.co/datasets/tarudesu/VOZ-HSD.
NOTE: The original dataset is labeled automatically using fine-tuned ViSoBERT-HSD.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/gamusa/VOZ-HSD-Hate-Comments.swiss-law-commentary
Swiss Law Commentary Dataset
Open-access, AI-generated legal commentary on 8 Swiss federal laws.
Source: openlegalcommentary.ch
Laws: BV, ZGB, OR, ZPO, StGB, StPO, SchKG, VwVG
Layers: Summary (B1 level), Doctrine (academic), Case Law (BGE digest)
Languages: DE, FR, IT, EN
Articles exported: 215
License: CC BY-SA 4.0
Built with ♥ by Jonas Hertner
Files
One JSONL file per law (e.g., or.jsonl, zgb.jsonl).
Schema
Field
Type
Description
law… See the full description on the dataset page: https://huggingface.co/datasets/AccountVerify/swiss-law-commentary.DTF_Comments_Responses_CountsThis dataset contains data from mid-2016 to the end of 2024 from the website DTF.ru
Structure:– post_title - body of the post;– parent_comment - parent comment :);
– parent_author - author of parent comment;– child_comment - response (child) comment to parent comment;– child_author - author of child comment;– subsite_name - subsite name (like a theme);– comment_id_parent - id of parent comment on dtf.ru– comment_id_child - id of child comment on dtf.ru– replyTo - id of parent comment what… See the full description on the dataset page: https://huggingface.co/datasets/SubMaroon/DTF_Comments_Responses_Counts.jigsaw-toxic-comments
Dataset Card for Jigsaw Toxic Comments
Dataset
Dataset Description
The Jigsaw Toxic Comments dataset is a benchmark dataset created for the Toxic Comment Classification Challenge on Kaggle. It is designed to help develop machine learning models that can identify and classify toxic online comments across multiple categories of toxicity.
Curated by: Jigsaw (a technology incubator within Alphabet Inc.)
Shared by: Kaggle
Language(s) (NLP): English
License: CC0 1.0… See the full description on the dataset page: https://huggingface.co/datasets/anitamaxvim/jigsaw-toxic-comments.jigsaw-toxic-comment-classification-challengeedreddit-comments-with-root