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Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: FileNotFoundError
Message: Couldn't find a dataset script at /src/services/worker/hishab/MegaBNSpeech_Test_Data/MegaBNSpeech_Test_Data.py or any data file in the same directory. Couldn't find 'hishab/MegaBNSpeech_Test_Data' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in hishab/MegaBNSpeech_Test_Data.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 65, in compute_config_names_response
for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/hishab/MegaBNSpeech_Test_Data/MegaBNSpeech_Test_Data.py or any data file in the same directory. Couldn't find 'hishab/MegaBNSpeech_Test_Data' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in hishab/MegaBNSpeech_Test_Data.Need help to make the dataset viewer work? Open a discussion for direct support.
MegaBNSpeech Test Data
To evaluate the performance of the models, we used four test sets. Two of these were developed as part of the MegaBNSpeech corpus, while the remaining two (Fleurs and Common Voice) are commonly used test sets that are widely recognized by the speech community.
Use dataset library:
from datasets import load_dataset
dataset = load_dataset("hishab/MegaBNSpeech_Test_Data")
Reported Word error rate (WER) /character error rate (CER) on four test sets using four ASR systems
| Category | Duration (hr) | Hishab BN Fastconformer | Google MMS | OOD-speech |
|---|---|---|---|---|
| MegaBNSpeech-YT | 8.1 | 6.4/3.39 | 28.3/18.88 | 51.1/23.49 |
| MegaBNSpeech-Tel | 1.9 | ∗40.7/24.38 | ∗59/41.26 | ∗76.8/39.36 |
Reported Word error rate (WER) /character error rate (CER) on different categories present in Hishab BN FastConformer
| Category | Duration (hr) | Hishab BN FastConformer | Google MMS | OOD-speech |
|---|---|---|---|---|
| News | 1.21 | 2.5/1.21 | 18.9/10.46 | 52.2/21.65 |
| Talkshow | 1.39 | 6/3.29 | 28/18.71 | 48.8/21.5 |
| Courses | 3.81 | 6.8/3.79 | 30.8/21.64 | 50.2/23.52 |
| Drama | 0.03 | 10.3/7.47 | 37.3/27.43 | 64.3/32.74 |
| Science | 0.26 | 5/1.92 | 20.6/11.4 | 45.3/19.93 |
| Vlog | 0.18 | 11.3/6.69 | 33/22.9 | 57.9/27.18 |
| Recipie | 0.58 | 7.5/3.29 | 26.4/16.6 | 53.3/26.89 |
| Waz | 0.49 | 9.6/5.45 | 33.3/23.1 | 57.3/27.46 |
| Movie | 0.1 | 8/4.64 | 35.2/23.88 | 64.4/34.96 |
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