Datasets:

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The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Persian Audio-Visual Dataset

Dataset Summary

The Persian audio-visual dataset is a collection of audio and visual data in the Persian language.The dataset consists of audio and visual data designed for speech recognition and lip reading tasks. The dataset includes over 24,000 of videos totaling over 27 hours of data.The videos are collected from news recordings and utilized a face-detection algorithm to crop and extract region of intrest.

You can download the dataset by the command below:

from datasets import load_dataset
dataset = load_dataset("SLPL/AV_Dataset")

Supported Tasks and Leaderboards

The dataset can be used for tasks such as speech recognition, audio-visual speech recognition, and speaker recognition.

Languages

The dataset is in the Persian language.

Format

The video clips are in MP4 format with a duration of 4 seconds each,enabaling efficient processing and analysis.(lenght and width of 224*224 pixels)

Data Splits

The data is unsplit.

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