datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VADBThe data from our video dataset is stored in VADB.zip
Our train.csv contains all annotated data related to aesthetic scores.
For text annotations such as comments and tags mentioned in the paper, please refer to merged_comment_tag.json.
[2025/10/22 UPDATE] The annotation files are fully open-sourced, but due to copyright issues with some videos, 2,609 video clips have been retained and not open-sourced, while the remaining 7,881 video clips have been fully released.
Hebrew_VAD_lexicon
Hebrew VAD Lexicon
The Hebrew VAD Lexicon is an enhanced version of an automatically translated affective lexicon, originally derived from the English VAD lexicon created by Mohammad (2018) .
It provides valence, arousal, and dominance (VAD) scores for Hebrew words.
The lexicon was carefully curated by manually reviewing and correcting the automatic translations and enriching the dataset with additional linguistic information.
There are two versions of the dataset:
English-Hebrew… See the full description on the dataset page: https://huggingface.co/datasets/GiliGold/Hebrew_VAD_lexicon.FER2013-VAD-annotationThis dataset involves train-20240123-14902.csv, publictest-20240508.csv and privatetest-20240506-yh.csv, which could be used for public and private test respectively. 14902, 1298 and 3589 samples are for train, public and private dataset at present.
journal-entries-emotion-detection-vadReddit Diary of a Redditor VAD Dataset
Dataset Creation Process
Scraping Reddit Posts
Posts were scraped from the r/diaryofaredditor subreddit using the Reddit API.
The script used for scraping is shown below:import requests
import csv
import time
access_token = ""
headers = {
"Authorization": f"bearer {access_token}",
"User-Agent": "ChangeMeClient/0.1"
}
url = "https://oauth.reddit.com/r/diaryofaredditor/new"
params = {"limit": 100}
after = None
csv_path =… See the full description on the dataset page: https://huggingface.co/datasets/mmarkusmalone/journal-entries-emotion-detection-vad.jigsaw-toxic-comment-vad-zh
Jigsaw Toxic Comment VAD (EN-ZH)
Dataset Summary
This dataset is derived from the Kaggle competition "Jigsaw Multilingual Toxic Comment Classification".
It contains English comments, adjusted VAD scores (valence/arousal/dominance) for each comment, and Chinese translations.
Translation failures are provided separately.
Languages
English (en) and Chinese (zh).
Data Files
train.csv: 221,858 rows with successful translations.
failed.csv: 1,691 rows… See the full description on the dataset page: https://huggingface.co/datasets/Pectics/jigsaw-toxic-comment-vad-zh.AudioProjsentinel-nids-telemetry