Add automatic-speech-recognition task category
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
@@ -1,5 +1,7 @@
|
|
1 |
---
|
2 |
license: cc-by-3.0
|
|
|
|
|
3 |
---
|
4 |
|
5 |
This dataset comprises 166,000 hours of multilingual speech spanning 75 languages, segmented into 30-second long-form audio clips. The data originates from the [YODAS2 dataset](https://huggingface.co/datasets/espnet/yodas2), which is based on large-scale web-crawled content.
|
@@ -40,4 +42,4 @@ Please refer to our paper for more details: https://arxiv.org/abs/2506.00338
|
|
40 |
booktitle={Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH) (accepted)},
|
41 |
year={2025},
|
42 |
}
|
43 |
-
```
|
|
|
1 |
---
|
2 |
license: cc-by-3.0
|
3 |
+
task_categories:
|
4 |
+
- automatic-speech-recognition
|
5 |
---
|
6 |
|
7 |
This dataset comprises 166,000 hours of multilingual speech spanning 75 languages, segmented into 30-second long-form audio clips. The data originates from the [YODAS2 dataset](https://huggingface.co/datasets/espnet/yodas2), which is based on large-scale web-crawled content.
|
|
|
42 |
booktitle={Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH) (accepted)},
|
43 |
year={2025},
|
44 |
}
|
45 |
+
```
|