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Datasets
All datasets matching “tok”video-vec2wav2-tokenizer
video-vec2wav2-tokenizer
Production-ready pipeline (Python package video_vec2wav2_tokenizer, CLI command
video2dataset) that turns a folder of videos into clean AI training datasets
for speech recognition (ASR) and text-to-speech (TTS).
videos ──► audio (16 kHz mono PCM) ──► whisper transcript ──► clips ──► metadata.csv / dataset.jsonl / tts_metadata.csv / report.json
Video processing — recursive scan of mp4 / mkv / avi / mov / webm, FFmpeg
audio extraction to mono ·… See the full description on the dataset page: https://huggingface.co/datasets/k9cli/video-vec2wav2-tokenizer.jat-dataset-tokenized
Dataset Card for "jat-dataset-tokenized"
More Information needed
video-vec2wav2-tokenizer-2
video-vec2wav2-tokenizer-2
Version 2 - continuation shard of the video-to-AI-dataset tokenizer project.
Production-ready pipeline (Python package video_vec2wav2_tokenizer, CLI command
video2dataset) that turns a folder of videos into clean AI training datasets
for speech recognition (ASR) and text-to-speech (TTS).
videos ──► audio (16 kHz mono PCM) ──► whisper transcript ──► clips ──► metadata.csv / dataset.jsonl / tts_metadata.csv / report.json
Video processing —… See the full description on the dataset page: https://huggingface.co/datasets/k9cli/video-vec2wav2-tokenizer-2.video-vec2wav2-tokenizer-3
video-vec2wav2-tokenizer-3
Version 3 - continuation shard of the video-to-AI-dataset tokenizer project.
Version 2 - continuation shard of the video-to-AI-dataset tokenizer project.
Production-ready pipeline (Python package video_vec2wav2_tokenizer, CLI command
video2dataset) that turns a folder of videos into clean AI training datasets
for speech recognition (ASR) and text-to-speech (TTS).
videos ──► audio (16 kHz mono PCM) ──► whisper transcript ──► clips ──►… See the full description on the dataset page: https://huggingface.co/datasets/k9cli/video-vec2wav2-tokenizer-3.tokenizer-wiki-bench
Multilingual Tokenizer Benchmark
This dataset includes pre-processed wikipedia data for tokenizer evaluation in 45 languages. We provide more information on the evaluation task in general this blogpost.
Usage
The dataset allows us to easily calculate tokenizer fertility and the proportion of continued words on any of the supported languages. In the example below we take the Mistral tokenizer and evaluate its performance on Slovak.
from transformers import AutoTokenizer… See the full description on the dataset page: https://huggingface.co/datasets/occiglot/tokenizer-wiki-bench.jora_corpus1_tokenized_128k