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---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- config_name: finetune
data_files:
- split: train
path: finetune/train-*
- split: validation
path: finetune/validation-*
- split: test
path: finetune/test-*
- config_name: labeled_reliable
data_files:
- split: validation
path: labeled_reliable/validation-*
- split: test
path: labeled_reliable/test-*
- split: train
path: labeled_reliable/train-*
- config_name: phi4mm-fewshots-samespeaker-random
data_files:
- split: validation
path: phi4mm-fewshots-samespeaker-random/validation-*
- config_name: phi4mm-zeroshot
data_files:
- split: validation
path: phi4mm-zeroshot/validation-*
- config_name: whisper-base-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-base-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-base-en-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-base-en-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-large-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-large-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-large-v2_filtered_le50wer_lt30_ge3words
data_files:
- split: train
path: whisper-large-v2_filtered_le50wer_lt30_ge3words/train-*
- split: validation
path: whisper-large-v2_filtered_le50wer_lt30_ge3words/validation-*
- split: test
path: whisper-large-v2_filtered_le50wer_lt30_ge3words/test-*
- config_name: whisper-large-v3-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-large-v3-Min0_5-Max30_0-MinWordLen0/test-*
- config_name: whisper-large-v3-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-large-v3-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-large-v3-turbo-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-large-v3-turbo-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-large-v3-turbo-RSR_segmented-lora-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-large-v3-turbo-RSR_segmented-lora-Min0_5-Max30_0-MinWordLen0/test-*
- config_name: whisper-largev3-myst-fullfinetune-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-largev3-myst-fullfinetune-Min0_5-Max30_0-MinWordLen0/test-*
- config_name: whisper-medium-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-medium-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-medium-en-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-medium-en-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-small-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-small-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-small-en-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-small-en-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-tiny-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-tiny-Min0_5-Max30_0-MinWordLen0/test-*
- config_name: whisper-tiny-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-tiny-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-tiny-RSR_segmented-lora-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-tiny-RSR_segmented-lora-Min0_5-Max30_0-MinWordLen0/test-*
- config_name: whisper-tiny-en-Min0_5-Max30_0-MinWordLen2
data_files:
- split: test
path: whisper-tiny-en-Min0_5-Max30_0-MinWordLen2/test-*
- config_name: whisper-tiny-myst-fullfinetune-Min0_5-Max30_0-MinWordLen0
data_files:
- split: test
path: whisper-tiny-myst-fullfinetune-Min0_5-Max30_0-MinWordLen0/test-*
dataset_info:
- config_name: default
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
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- name: text
dtype: string
- name: duration
dtype: float32
- name: student_id
dtype: string
- name: date
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- name: time
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- name: module
dtype: string
- name: investigation
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- name: part
dtype: string
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- config_name: finetune
features:
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dtype: string
- name: audio
dtype:
audio:
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- name: duration
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- config_name: labeled_reliable
features:
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dataset_size: 11977008001.181
- config_name: phi4mm-fewshots-samespeaker-random
features:
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audio:
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- name: transcription
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- name: clean_transcription
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- name: prediction_w_1shots
dtype: string
- name: prediction_w_2shots
dtype: string
- name: prediction_w_3shots
dtype: string
- name: prediction_w_4shots
dtype: string
- name: whisper_normalized_label
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- name: wer
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splits:
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- config_name: phi4mm-zeroshot
features:
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dtype:
audio:
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- name: duration
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- name: module
dtype: string
- name: investigation
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- name: part
dtype: int64
- name: transcription
dtype: string
- name: __index_level_0__
dtype: int64
- name: clean_transcription
dtype: string
- name: prediction
dtype: string
- name: whisper_normalized_label
dtype: string
- name: whisper_normalized_prediction
dtype: string
- name: cer
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- name: wer
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- config_name: whisper-base-Min0_5-Max30_0-MinWordLen2
features:
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dtype: string
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dtype:
audio:
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- name: text
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- name: student_id
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- name: date
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- name: module
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- name: investigation
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- config_name: whisper-base-en-Min0_5-Max30_0-MinWordLen2
features:
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dtype: string
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- config_name: whisper-large-Min0_5-Max30_0-MinWordLen2
features:
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dtype: string
- name: audio
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audio:
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- config_name: whisper-large-v2_filtered_le50wer_lt30_ge3words
features:
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dtype: string
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- config_name: whisper-large-v3-Min0_5-Max30_0-MinWordLen0
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audio:
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- name: normalized_transcription
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- config_name: whisper-large-v3-Min0_5-Max30_0-MinWordLen2
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- config_name: whisper-large-v3-turbo-Min0_5-Max30_0-MinWordLen2
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- config_name: whisper-large-v3-turbo-RSR_segmented-lora-Min0_5-Max30_0-MinWordLen0
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features:
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dtype: string
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audio:
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---
NOTE: This is not a public dataset, I couldn't share access.
There are two config for this dataset:
1. By default, is loading the raw dataset with basically everything of the dataset
2. There is another configuration is for finetune use, which is a preprocessed myst subset with
- cleaned transcription (in the format w2v2 output)
- duration, only 2~20 sec audio entries will be seen in this subset
- *local file name: only for reference use locally.
```python
from datasets import load_dataset
myst = load_dataset("MagicLuke/MyST", split="test")
myst = load_dataset("MagicLuke/MyST", "finetune", split="test")
```