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README.md ADDED
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+ ---
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+ language:
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+ - zh
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+ license: cc0-1.0
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+
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+ tags:
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+ - audio
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+ - speaker diarization
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+
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+ source_datasets:
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+ - commonvoice
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+
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+ task_categories:
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+ - automatic-speech-recognition
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+
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+ annotations_creators:
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+ - crowdsourced
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+
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+ language_creators:
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+ - crowdsourced
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+ ---
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+ # cv-corpus-17.0-zh-CN-client_id-grouped
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+
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+ This dataset is a subset of the Common Voice dataset, filtered and grouped based on the client ID (treated as speaker ID).
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+
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+ ## Dataset Details
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+
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+ - The dataset is derived from the Common Voice dataset.
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+ - The original dataset is available at [Common Voice Dataset](https://commonvoice.mozilla.org/en/datasets).
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+ - The dataset is grouped by client ID, which is treated as the speaker ID for this dataset.
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+ - Each group is filtered to include only client IDs with a minimum of 30 samples and a maximum of 300 samples.
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+ - The dataset is split into train and validation sets for each client ID group, with a ratio of 8:2.
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+ - The same client IDs exist in both the train and validation sets.
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+ - The dataset is split into batches of 1000 samples and saved as Parquet files.
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+
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+
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+ ## Dataset Statistics
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+
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+ - Filtered client_id count: 860
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+ - Filtered total entry count: 125,098
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+ - Original total entry count: 185,072
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+
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+ ## Sample Duration Distribution
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+
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+ ![Sample Duration Distribution](duration_distribution.png)
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+
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+ The histogram shows the distribution of sample durations in the dataset.
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+
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+ ## License
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+
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+ The Common Voice dataset is licensed under the Creative Commons Zero (CC0) license.
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+ {
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+ "description": "Common Voice subset dataset for speaker diarization",
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+ "license": "CC0 1.0",
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+ "features": {
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+ "client_id": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ },
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+ },
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+ "_type": "Value"
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+ },
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+ "gender": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "accents": {
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+ "dtype": "string",
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+ },
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+ "variant": {
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+ },
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+ "locale": {
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+ "_type": "Value"
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+ },
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+ "segment": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "audio": {
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+ "_type": "Audio"
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+ }
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+ },
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+ "splits": [
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+ {
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+ "name": "train",
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+ "num_examples": 99803,
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+ "dataset_name": "train",
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+ "filenames": [
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+ "train_0.parquet",
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+ "train_1.parquet",
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+ "train_2.parquet",
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+ {
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