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Update README.md

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README.md CHANGED
@@ -30,6 +30,7 @@ This project was developed in collaboration between Lucas Jo(@Atlas Guide Inc.)
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  Contact: Lucas Jo(lucasjo@goodatlas.com), Wonkyum Lee(wonkyum@gridspace.com)
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  ### License
 
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  CC BY 4.0
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  ## Dataset Structure
@@ -61,9 +62,18 @@ total: 5.52 GiB
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  ### Data Fields
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  - audio: `audio`, sampling rate = 16000
 
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  - Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. `dataset[0]["audio"]` should always be preferred over `dataset["audio"][0]`.
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  - text: `string`
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  ### Data Splits
 
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  Contact: Lucas Jo(lucasjo@goodatlas.com), Wonkyum Lee(wonkyum@gridspace.com)
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  ### License
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+
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  CC BY 4.0
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  ## Dataset Structure
 
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  ### Data Fields
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  - audio: `audio`, sampling rate = 16000
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+ - A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate.
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  - Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the "audio" column, i.e. `dataset[0]["audio"]` should always be preferred over `dataset["audio"][0]`.
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  - text: `string`
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+ ```pycon
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+ >>> dataset["train"][0]
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+ {'audio': {'path': None,
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+ 'array': array([-3.0517578e-05, 0.0000000e+00, -3.0517578e-05, ...,
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+ 0.0000000e+00, 0.0000000e+00, -6.1035156e-05], dtype=float32),
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+ 'sampling_rate': 16000},
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+ 'text': '์ธ์‚ฌ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๊ณผ์ •์—์„œ ๋‹น ์ง€๋„๋ถ€๊ฐ€ ์šฐ ์›๋‚ด๋Œ€ํ‘œ ๋ฐ ์›๋‚ด์ง€๋„๋ถ€์™€ ์ถฉ๋ถ„ํ•œ ์ƒ์˜๋ฅผ ๊ฑฐ์น˜์ง€ ์•Š์€ ์ฑ„ ์ผ๋ฐฉ์ ์œผ๋กœ ์ธ์‚ฌ๋ฅผ ํ–ˆ๋‹ค๋Š” ๋ถˆ๋งŒ๋„ ์›๋‚ด์ง€๋„๋ถ€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ˜๋Ÿฌ๋‚˜์™”๋‹ค'}
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+ ```
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  ### Data Splits