datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
global-news-radio-debug
Global News Radio Dataset (1 hour per station)
Every news radio station from the Radio Browser API, recorded for 1 hour each.
Attempted
3037
Successful
2553
Failed
484
Total audio
21 hours
Parquet shards
256
Size
0.6 GB
Format
MP3 16kHz mono 64kbps
Usage
from datasets import load_dataset
ds = load_dataset("NathanRoll/global-news-radio-debug", streaming=True)
for sample in ds["train"]:
print(sample["station_name"], sample["language"]… See the full description on the dataset page: https://huggingface.co/datasets/NathanRoll/global-news-radio-debug.chinese-lips-longform-debug
Chinese-LiPS Long-Form (zh long streaming speech)
Reconstructed continuous long-speech streams from
BAAI/Chinese-LiPS, for
slide-aware / streaming speech-translation development and evaluation. Each
source video (one speaker, one scripted lecture with slides) was released as
pre-segmented clips; here they are re-joined into the full talk.
Two variants of the same 3 talks (~97 min speech total):
config
how segments are placed
use
orig_timeline
at their original session… See the full description on the dataset page: https://huggingface.co/datasets/gavinlaw/chinese-lips-longform-debug.fastmss-debug-v0.5
FastMSS synthetic multi-speaker meetings - parquet edition
Streaming-friendly parquet shards of the FastMSS synthetic multi-speaker conversational corpus. Each row is one mixture with the audio bytes embedded inline (16 kHz mono WAV) plus per-segment diarization timestamps, per-word transcript and the full lhotse cut as a JSON blob. See fastmss/hf_dataset.py for the schema docstring.
Subsets and splits
debug_v0.5 — splits: train — 10 mixtures, 20.5 min total, 39 unique… See the full description on the dataset page: https://huggingface.co/datasets/arda-argmax/fastmss-debug-v0.5.