AV
Datasets
All datasets matching “AV”smollm-corpus
SmolLM-Corpus: Now shuffled and sharded!
This is a version of the SmolLM-Corpus where the 3 subsets have been interleved, shuffled and sharded as 23698 jsonl.zst files for easy streaming!
The dataset is comprised of the cosmopedia-v2 and fineweb-edu-dedup subsets from the original SmolLM-Corpus repo, with the python-edu subset being pulled from my python-edu repo.
Dataset Structure
The dataset is split into 24 subdirectories, with the first 23 containing 1000 shards… See the full description on the dataset page: https://huggingface.co/datasets/Avelina/smollm-corpus.avspeech-visual-audio
AVSpeech Video + Audio
This repository is a media-bearing reconstruction of the public AVSpeech
annotations. Each row represents an already-trimmed segment and keeps the
original source-video timing and target-face-center metadata.
Dataset structure
clip_id: identifier derived as
{youtube_id}_{start_sec:.3f}_{end_sec:.3f}.
avspeech_metadata: JSON containing youtube_id, start_sec, end_sec,
x_center, and y_center from the AVSpeech annotation.
video: video-only… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/avspeech-visual-audio.smollm-corpus-cleaned
SmolLM-Corpus: Now shuffled and sharded (and Cleaned)!
This is a version of the SmolLM-Corpus where the 3 subsets have been interleved, shuffled and sharded as 23698 jsonl.zst files for easy streaming!
The dataset is comprised of the cosmopedia-v2 and fineweb-edu-dedup subsets from the original SmolLM-Corpus repo, with the python-edu subset being pulled from my python-edu-cleaned repo.
Dataset Structure
The dataset is split into 24 subdirectories, with the first 23… See the full description on the dataset page: https://huggingface.co/datasets/Avelina/smollm-corpus-cleaned.AVUTBenchmark
Audio-centric Video Understanding Benchmark (AVUT)
This dataset is presented in the paper Audio-centric Video Understanding Benchmark without Text Shortcut.
Code Repository: https://github.com/lark-png/AVUT
Paper: https://arxiv.org/pdf/2503.19951
Introduction
The Audio-centric Video Understanding Benchmark (AVUT) aims to evaluate the video comprehension capabilities of multimodal Large Language Models (LLMs), with a particular focus on auditory information. Audio… See the full description on the dataset page: https://huggingface.co/datasets/tsinghua-ee/AVUTBenchmark.MomentSeekerMomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos
This repo contains the annotation data for the paper "MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos".
🔔 News:
🥳 2025/03/07: We have released the MomentSeeker Benchmark and Paper! 🔥
Introduction
We present MomentSeeker, a comprehensive benchmark to… See the full description on the dataset page: https://huggingface.co/datasets/avery00/MomentSeeker.Allo-AVA