Datasets › CAS-VSR-S101
CAS-VSR-S101
A new large-scale, in-thewild Mandarin dataset, CAS-VSR-S101 with 101.1 hours of data. The videos are sourced from broadcast news and conversational programs in Chinese, covering a highly diverse set of topics, speakers and filming conditions. The lengths of the utterances are naturally distributed between 0.01s and 10.57s, and image qualities and resolutions vary. News accounts for 82.4% of the programs. 70.4% of the utterances depict news anchors, hosts and correspondents, while 29.6% are those of interviewees and guests. In addition, at a ratio of approximately 1.5 : 1, male and female appearances are relatively balanced. It is divided into train, validation and test sets by TV channels to minimize speaker overlap, and at a ratio of roughly 8 : 1 : 1.5 in terms of duration. The validation and test sets are composed of programs broadcast on provincial TV channels. The dataset is available for academic use under a license.
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Audio-Visual Speech Recognition | CAS-VSR-S101 | ES³ Base* Word Error Rate (WER) 11.0 | ES3: Evolving Self-Supervised Learning of Robust... | — | 1 | Compare |
| Lipreading | CAS-VSR-S101 | ES³ Base* Word Error Rate (WER) 55.6 | ES3: Evolving Self-Supervised Learning of Robust... | — | 1 | Compare |
| Speech Recognition | CAS-VSR-S101 | ES³ Base* Word Error Rate (WER) 11.6 | ES3: Evolving Self-Supervised Learning of Robust... | — | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations | 0 | 3 | 1 Jan 2024 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CAS-VSR-S101
1 variant name, as the archive lists them.
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