datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AdditiveLLM2-OA
AdditiveLLM2-OA Dataset
Open Access journal articles (up to February 2026) used in domain adapting
pretraining and instruction tuning for AdditiveLLM2.
Dataset Split by Journal
text
images
vit
Vocabulary Overlap
Pairwise Jaccard similarity of word-level vocabularies (lowercase, 3+ letter tokens) across the four source journals. Run info/vocabulary/vocabulary_overlap.py to reproduce.
Top Phrases by Journal
Most frequent bigrams and… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/AdditiveLLM2-OA.IndicSafe
IndicSafe
Authors: Priyaranjan Pattnayak, Garima Panwar, and Sanchari Chowdhuri.
IndicSafe is a multilingual benchmark for evaluating large-language-model safety behavior across 12 South Asian languages. It contains 6,000 translated prompt rows: 500 source rows in each language, spanning harmful, harmless-control, and deliberately ambiguous categories.
Content warning: the benchmark contains prompts about hate, discrimination, violence, misinformation, political manipulation… See the full description on the dataset page: https://huggingface.co/datasets/ppattnay/IndicSafe.pii-masking-300k
👉 Looking for the newest release? The current flagship is ai4privacy/pii-masking-openpii-1.5m. 1.6M samples, 30 languages, 19 PII classes, Asia Pacific extension.?** The current flagship is ai4privacy/pii-masking-openpii-1m. 1.4M samples, 23 languages, 19 PII classes.
Purpose and Features
🌍 World's largest open dataset for privacy masking 🌎
The dataset is useful to train and evaluate models to remove personally identifiable and sensitive information from text, especially in… See the full description on the dataset page: https://huggingface.co/datasets/ppalani09/pii-masking-300k.meetingbank
Overview
MeetingBank, a benchmark dataset created from the city councils of 6 major U.S. cities to supplement existing datasets. It contains 1,366 meetings with over 3,579 hours of video, as well as transcripts, PDF documents of meeting minutes, agenda, and other metadata. On average, a council meeting is 2.6 hours long and its transcript contains over 28k tokens, making it a valuable testbed for meeting summarizers and for extracting structure from meeting videos. The datasets… See the full description on the dataset page: https://huggingface.co/datasets/ppan0423/meetingbank.