datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FineFineWeb-validation
FineFineWeb: A Comprehensive Study on Fine-Grained Domain Web Corpus
arXiv: Coming Soon
Project Page: Coming Soon
Blog: Coming Soon
Data Statistics
Domain (#tokens/#samples)
Iteration 1 Tokens
Iteration 2 Tokens
Iteration 3 Tokens
Total Tokens
Iteration 1 Count
Iteration 2 Count
Iteration 3 Count
Total Count
aerospace
5.77B
261.63M
309.33M
6.34B
9100000
688505
611034
10399539
agronomy
13.08B
947.41M
229.04M
14.26B
15752828
2711790
649404
19114022
artistic… See the full description on the dataset page: https://huggingface.co/datasets/m-a-p/FineFineWeb-validation.lalm-judge-validation-full-duplex
LALM Judge Validation on Full-Duplex Voice Agents
Companion dataset for the paper A Reliability Assessment of
LALM Audio Judges for Full-Duplex Voice Agents.
This repository contains the anonymised ratings, adversarial-defect
recall tables, JSON schemas, and analysis scripts used to produce
every headline number, table, and figure in that paper.
Summary
209 rated stereo sessions: 152 full-duplex agent-client
conversations across 13 accent-and-condition strata… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/lalm-judge-validation-full-duplex.whylab-gemini-2-5-docker-validation
🛈 Anonymity Notice (2026-05-12): The associated manuscript is currently under peer review at a double-blind venue. Author identity and venue-specific identifiers have been withheld throughout this README, the BibTeX templates, and the CITATION.cff block. The dataset itself remains CC-BY-4.0 and is independently citable via its Zenodo DOI 10.5281/zenodo.20018468. The author byline will be restored after the review outcome is announced.
DOI
This dataset is citable via DataCite DOI… See the full description on the dataset page: https://huggingface.co/datasets/neogenesislab/whylab-gemini-2-5-docker-validation.sinhala-validation-set-10k
Sinhala Validation Set - 10K Sentences
A held-out Sinhala validation set of 10,000 sentences drawn from the Minuri/diverse_sinhala_dataset corpus. Used for monitoring validation loss during continual pretraining of three LLaMA 3.2 1B variants (Models A, B, C) as part of a diversity-driven Sinhala language model adaptation study.
Dataset Description
This validation set was held out strictly from all three pretraining corpora (A, B, C) to enable unbiased validation loss… See the full description on the dataset page: https://huggingface.co/datasets/Minuri/sinhala-validation-set-10k.