Update README.md
Browse filesupdated readme file
README.md
CHANGED
@@ -18,4 +18,55 @@ dataset_info:
|
|
18 |
---
|
19 |
# Dataset Card for "bengali-ai-train-set-tiny"
|
20 |
|
21 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
---
|
19 |
# Dataset Card for "bengali-ai-train-set-tiny"
|
20 |
|
21 |
+
|
22 |
+
|
23 |
+
# Dataset Description
|
24 |
+
|
25 |
+
- **Homepage:** [OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking](https://arxiv.org/abs/2305.09688)
|
26 |
+
- **Paper:** [OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking](https://arxiv.org/abs/2305.09688)
|
27 |
+
|
28 |
+
### Whisper Model Information
|
29 |
+
|
30 |
+
- **Model Homepage:** [openai/whisper-tiny on Hugging Face](https://huggingface.co/openai/whisper-tiny)
|
31 |
+
- **Model Paper:** [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)
|
32 |
+
|
33 |
+
## Dataset Summary
|
34 |
+
|
35 |
+
This dataset is designed to help finetune the `openai/whisper-tiny` model with additional information in the Bengali language. It consists of an additional 11,000 labeled audio samples from the OOD-Speech dataset, specifically designed for out-of-distribution benchmarking in Bengali.
|
36 |
+
|
37 |
+
## Supported Tasks and Leaderboards
|
38 |
+
|
39 |
+
The primary task supported by this dataset is automatic speech recognition (ASR) in the Bengali language, specifically for finetuning the `openai/whisper-tiny` model.
|
40 |
+
|
41 |
+
## Languages
|
42 |
+
|
43 |
+
The dataset is in Bengali.
|
44 |
+
|
45 |
+
## Dataset Structure
|
46 |
+
|
47 |
+
### Data Instances
|
48 |
+
|
49 |
+
Each instance in the dataset consists of an audio sample in Bengali along with its corresponding transcription.
|
50 |
+
|
51 |
+
### Data Fields
|
52 |
+
|
53 |
+
- `audio`: The audio sample in Bengali.
|
54 |
+
- `transcription`: The corresponding transcription of the audio sample in Bengali.
|
55 |
+
|
56 |
+
### Data Splits
|
57 |
+
|
58 |
+
The dataset is split into training and validation sets. The training set consists of 10,000 samples, and the validation set consists of 1,000 samples.
|
59 |
+
|
60 |
+
## Additional Information
|
61 |
+
|
62 |
+
### Dataset Curators
|
63 |
+
|
64 |
+
The dataset has been curated by "thesven".
|
65 |
+
|
66 |
+
### Licensing Information
|
67 |
+
|
68 |
+
Licensing information for the OOD-Speech dataset can be found in the original paper.
|
69 |
+
|
70 |
+
### Citation Information
|
71 |
+
|
72 |
+
``` @article{OOD-Speech2023, title={OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking}, author={Authors of the OOD-Speech paper}, journal={arXiv preprint arXiv:2305.09688}, year={2023} } ```
|