datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
youtube-tiktok-trends-dataset-2025
🎬 YouTube Shorts & TikTok Trends (2025)
Author: Tarek MasryoLicense: CC BY 4.0
A structured snapshot of short-form video activity across YouTube Shorts and TikTok during 2025 (Jan–Aug).Built for content intelligence, analytics dashboards, and ML baselines (classification/regression).
What’s inside
This repository ships:
Two loadable dataset configs (via datasets.load_dataset):
default → ML-ready table (cleaned + modeling-friendly)
raw → raw video-level table (wider… See the full description on the dataset page: https://huggingface.co/datasets/tarekmasryo/youtube-tiktok-trends-dataset-2025.youtube-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.youtube_annotations_text
Youtube Annotations Text
YouTube 注释(YouTube Annotations)是 YouTube 在 2008 年推出的一项功能,
允许视频创作者在视频上添加文本、链接和互动元素, 以增强观众的观看体验.
YouTube 已在 2019 年删除了此功能.
您可以在这里找到由 omarroth 创建的存档 YouTube Annotations,
本数据集从13亿条存档中提取出了文本.
如果您需要 x_id 与 videoId 的映射, 请使用 utilities/video_text_mapping_indexed.sqlite3 数据库.
timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15Timeseries Trending YouTube Videos: 2019-04-15 to 2020-04-15
This dataset is a csv of one of the archived historical database tables queried from my non public database that contains time series data for period of 2019-04-15 to 2020-04-15. Video data was captured from the time they first appeared on trending list, and TSD exists until the video is removed from trending list.
This snapshot contains data for the 11,369 videos that appeared on trending within the timeframe, with 1,541,128 records… See the full description on the dataset page: https://huggingface.co/datasets/jettisonthenet/timeseries_trending_youtube_videos_2019-04-15_to_2020-04-15.moroccan-darija-youtube-subtitles
Moroccan Darija YouTube Subtitles Dataset
This dataset contains subtitles from YouTube videos in Moroccan Darija, a colloquial Arabic dialect spoken in Morocco. The subtitles were collected from several popular Moroccan YouTube channels, providing a diverse set of transcriptions in the Darija language.
Dataset Description
The dataset is provided as a CSV file, where each row represents a YouTube video and contains the following columns:
video_id: The unique identifier of… See the full description on the dataset page: https://huggingface.co/datasets/bourbouh/moroccan-darija-youtube-subtitles.Top_100_YouTube_ChannelsTop 100 YouTube Channels (Updated Monthly) - ytRank.com
Discover the latest ranking of the top 100 YouTube channels, updated every month. This dataset provides an up-to-date list of channels sorted by subscriber count, offering insights into the most popular creators and trending content on the platform. Stay informed about the biggest names in the YouTube community with our accurate and regularly refreshed data.
hinglish-youtube-sentiments-dataset
Hinglish YouTube Comments Sentiment Dataset
A manually annotated dataset of 3,190 Hinglish YouTube comments for 3-class sentiment classification. Hinglish is the code-mixed Hindi-English language used by hundreds of millions of Indians online — written in Roman script, mixing Hindi and English words fluidly within the same sentence.
This dataset was created because no sufficiently large, cleanly annotated Hinglish sentiment dataset existed for YouTube comment data specifically.… See the full description on the dataset page: https://huggingface.co/datasets/shae2977/hinglish-youtube-sentiments-dataset.YouTube-Evaluation-Set
Awaaz se Alfaaz — YouTube Evaluation Set
This dataset is the realistic multi-speaker evaluation set used in Awaaz se Alfaaz, accepted at LaTeLL 2026 — "Enhancing Urdu ASR with Whisper v3: Fine-Tuning on Latest Datasets and Realistic Multi-Speaker Evaluation with SLM Post-Processing." It contains 30 short-form Urdu YouTube videos (YouTube Shorts) covering a mix of news, sports, and current affairs content, along with human annotated gold transcripts and transcripts produced by… See the full description on the dataset page: https://huggingface.co/datasets/awaaz-se-alfaaz/YouTube-Evaluation-Set.youtube-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/vnkat/youtube-comment-sentiment.somali-asr-synthetic-youtube
Somali ASR Synthetic YouTube Dataset
A Somali-language speech dataset derived from YouTube audio, intended for training and evaluating automatic speech recognition (ASR) and speech-to-text (STT) models. Transcriptions were generated synthetically (silver-standard) via ASR bootstrapping.
Dataset Summary
Split
Samples
train
~4,393
validation
200
test
100
Total
~4,693
Language: Somali (so)
Audio format: WAV, 16 kHz, mono, 16-bit PCM
Total… See the full description on the dataset page: https://huggingface.co/datasets/IbrahimDayax/somali-asr-synthetic-youtube.youtube-spotify-audio-features
Spotify–YouTube Audio Features
Tabular librosa audio features for tracks aligned with the Spotify / YouTube pipeline in the viral-content-predictor project. Each row is one Spotify track_id matched to a downloaded YouTube audio clip; features are aggregated statistics (mean / std) computed on the decoded waveform.
Files
File
Description
audio_features.csv
One row per track: track_id, 89 derived feature dimensions (means/stds), extraction_success, error_message.… See the full description on the dataset page: https://huggingface.co/datasets/vancenceho/youtube-spotify-audio-features.Nostalgic_Sentiment_Analysis_of_YouTube_Comments_Data
Dataset Summary
The dataset is a collection of Youtube Comments and it was captured using the YouTube Data API.
The data set consists of 1500 nostalgic and non-nostalgic comments in English.
Languages
The language of the data is English.
Citation
If you find this dataset usefull for your study, please cite the paper as followed:
@article{postalcioglu2020comparison,
title={Comparison of Neural Network Models for Nostalgic Sentiment Analysis of YouTube… See the full description on the dataset page: https://huggingface.co/datasets/Senem/Nostalgic_Sentiment_Analysis_of_YouTube_Comments_Data.ahsenwaheed_youtube-comments-spam-dataset
Youtube Comments Spam Dataset
Predicting YouTube Comment Spam: An Insightful Dataset for Text Classification
Dataset Info
Source: Kaggle
Original Size: 0.16 MB
Kaggle Downloads: 4,105
Files: 1
Files
Youtube-Spam-Dataset.csv
Mirrored from Kaggle
youtube-scam-conversationsyoutube-commentsthis is a very bad dataset. a better one comming soon.
youtube_top_popular_videos_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/krish12209/youtube-comment-sentiment.youtubeCommentFrench_Youtube_CommentsCe dataset contient un scraping de commentaires Youtube sur des chaînes "grands publics" destinées aux jeunes.
Nous avons notamment scrapé 187269 commentaires sous 29 vidéos de Squeezie.
L'autre fichier, qui contient 191856 commentaires, contient pour une bonne part les commentaires sous 39 vidéos de Michou.
Le dataset, en l'état actuel n'est pas nettoyé , c'est donné comme c'est sorti de l'API !
Pour une partie, j'ai supprimé la colonne 'username'. Mais elle est reconstructible de plusieurs… See the full description on the dataset page: https://huggingface.co/datasets/GwendalTsang/French_Youtube_Comments.youtube-vlog-personality-recognition-wcpr14The Workshop on Personality Recognition 2014 was a competition based on this dataset. The goal is to predict personality scores from visual features and text transcripts.
Reference Paper: https://infoscience.epfl.ch/server/api/core/bitstreams/e61b4c1b-0c56-4afc-9786-23e9841cb81f/content
YouTube_Transcript_SumKorean-Youtuber-Channel-ID-Handles
Korean Youtube Channels or Youtube Channel Popular in Korea
Result might not accurate. Use it with caution.
Here are the top 5 rows from the filtered and processed CSV file:
youtube_handle
channel_id
title
subscriberCount
topicCategories
@_movie
UClgRkhTL3_hImCAmdLfDE4g
YouTube Movies
184000000.0
NaN
@blackpink
UCOmHUn--16B90oW2L6FRR3A
BLACKPINK
95100000.0
["https://en.wikipedia.org/wiki/Music_of_Asia"...
@bts
UCLkAepWjdylmXSltofFvsYQ
BANGTANTV
79200000.0… See the full description on the dataset page: https://huggingface.co/datasets/jwywoo/Korean-Youtuber-Channel-ID-Handles.youtube-sentiment-dataset
YouTube Comments Sentiment Dataset
A comprehensive, large-scale dataset featuring 1,032,225 English YouTube comments, curated and labeled for 3-class sentiment analysis (Negative, Neutral, and Positive). This dataset is optimized for training, evaluating, and fine-tuning Transformer-based NLP models and sentence encoders.
🔗 Related Resources
Hugging Face Dataset: Arshia82sbn/youtube-sentiment-dataset
Hugging Face Model:… See the full description on the dataset page: https://huggingface.co/datasets/Arshia82sbn/youtube-sentiment-dataset.youtube_filesystem_google_map_terminal_fetch_playwright_with_chunk_huggingface_1422_6726df634fyoutu-llm-2b-base-blind-spots
Youtu-LLM-2B-Base Blind Spots Dataset
What is this?
I tested a small AI language model called Youtu-LLM-2B-Base (made by Tencent) to find places where it gives wrong or strange answers. I gave it 50 different questions and kept the 25 cases where it clearly failed.
This dataset contains those 25 failures — the question I asked, what the correct answer should be, what the model actually said, and why it was wrong.
About the Model
Name: Youtu-LLM-2B-Base
Link:… See the full description on the dataset page: https://huggingface.co/datasets/Afras/youtu-llm-2b-base-blind-spots.YouTube-Comments-Dataset-45k-rows
YouTube Comments Dataset with Sentiment, Toxicity, and Spam Labels (45K Rows)
📘 Overview
This dataset contains over 45,000 real-world YouTube comments collected from a diverse set of YouTube channels across genres such as entertainment, news, devotional content, and education. Each comment has been automatically annotated with:
label_sentiment: positive, neutral, or negative
label_toxicity: toxic or non-toxic
label_spam: spam or not spam
The dataset is suitable… See the full description on the dataset page: https://huggingface.co/datasets/atakshat11/YouTube-Comments-Dataset-45k-rows.russian_youtube_comments_political_and_nonpoliticalThe data contains comments from political and nonpolitical Russian-speaking YouTube channels.
Date interval: 1 year between April 30, 2020, and April 30, 2021
youtube-comments-intent-sentimentYoutubeDatasetyoutube_dataset