Datasets:
| language: | |
| - ta | |
| task_categories: | |
| - automatic-speech-recognition | |
| tags: | |
| - audio | |
| - speech | |
| - parquet | |
| # Audio Clips Dataset | |
| AudioCaps-style parquet dataset generated from `MG`. | |
| The dataset stores clipped audio directly inside parquet shards under `data/`. | |
| ## Columns | |
| - `audio`: embedded audio bytes and clip path | |
| - `audio_length`: approximate number of samples at 16000 Hz | |
| - `caption`: transcript text | |
| - `language`, `duration`, `upload_id`, `segment_id`, `collection`, `label`, `source_audio`, `start`, `end` | |
| ## Usage | |
| ```python | |
| from datasets import Audio, load_dataset | |
| ds = load_dataset("007ask/MG", split="train", streaming=True) | |
| ds = ds.cast_column("audio", Audio(sampling_rate=16000)) | |
| first = next(iter(ds)) | |
| print(first["audio"]["array"].shape, first["caption"]) | |
| ``` | |