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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'custom'})
This happened while the json dataset builder was generating data using
gzip://cuts_train.jsonl::hf://datasets/yuekai/wenetspeech4tts_lhotse_manifest@982fade7c7dc68171099c12263cfa28b72e5a93c/tokenized/cuts_train.jsonl.gz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
start: int64
duration: double
channel: int64
supervisions: list<item: struct<id: string, recording_id: string, start: double, duration: double, channel: int64, text: string, language: string, custom: struct<timestamp: string, dns_mos: double, normalized_text: string>>>
child 0, item: struct<id: string, recording_id: string, start: double, duration: double, channel: int64, text: string, language: string, custom: struct<timestamp: string, dns_mos: double, normalized_text: string>>
child 0, id: string
child 1, recording_id: string
child 2, start: double
child 3, duration: double
child 4, channel: int64
child 5, text: string
child 6, language: string
child 7, custom: struct<timestamp: string, dns_mos: double, normalized_text: string>
child 0, timestamp: string
child 1, dns_mos: double
child 2, normalized_text: string
features: struct<type: string, num_frames: int64, num_features: int64, frame_shift: double, sampling_rate: int64, start: int64, duration: double, storage_type: string, storage_path: string, storage_key: string, recording_id: string, channels: int64>
child 0, type: string
child 1, num_frames: int64
child 2, num_features: int64
child 3, frame_shift: double
child 4, sampling_rate: int64
child 5, start: int64
child 6, duration: double
child 7, storage_type: string
child 8, storage_path: string
child 9, storage_key: string
child 10, recording_id: string
child
...
s: list<item: int64>, transforms: list<item: struct<name: string, kwargs: struct<source_sampling_rate: int64, target_sampling_rate: int64>>>>
child 0, id: string
child 1, sources: list<item: struct<type: string, channels: list<item: int64>, source: string>>
child 0, item: struct<type: string, channels: list<item: int64>, source: string>
child 0, type: string
child 1, channels: list<item: int64>
child 0, item: int64
child 2, source: string
child 2, sampling_rate: int64
child 3, num_samples: int64
child 4, duration: double
child 5, channel_ids: list<item: int64>
child 0, item: int64
child 6, transforms: list<item: struct<name: string, kwargs: struct<source_sampling_rate: int64, target_sampling_rate: int64>>>
child 0, item: struct<name: string, kwargs: struct<source_sampling_rate: int64, target_sampling_rate: int64>>
child 0, name: string
child 1, kwargs: struct<source_sampling_rate: int64, target_sampling_rate: int64>
child 0, source_sampling_rate: int64
child 1, target_sampling_rate: int64
custom: struct<dataloading_info: struct<rank: int64, world_size: int64, worker_id: null>, tokens: list<item: string>>
child 0, dataloading_info: struct<rank: int64, world_size: int64, worker_id: null>
child 0, rank: int64
child 1, world_size: int64
child 2, worker_id: null
child 1, tokens: list<item: string>
child 0, item: string
type: string
to
{'id': Value(dtype='string', id=None), 'start': Value(dtype='int64', id=None), 'duration': Value(dtype='float64', id=None), 'channel': Value(dtype='int64', id=None), 'supervisions': [{'id': Value(dtype='string', id=None), 'recording_id': Value(dtype='string', id=None), 'start': Value(dtype='float64', id=None), 'duration': Value(dtype='float64', id=None), 'channel': Value(dtype='int64', id=None), 'text': Value(dtype='string', id=None), 'language': Value(dtype='string', id=None), 'custom': {'timestamp': Value(dtype='string', id=None), 'dns_mos': Value(dtype='float64', id=None)}}], 'features': {'type': Value(dtype='string', id=None), 'num_frames': Value(dtype='int64', id=None), 'num_features': Value(dtype='int64', id=None), 'frame_shift': Value(dtype='float64', id=None), 'sampling_rate': Value(dtype='int64', id=None), 'start': Value(dtype='int64', id=None), 'duration': Value(dtype='float64', id=None), 'storage_type': Value(dtype='string', id=None), 'storage_path': Value(dtype='string', id=None), 'storage_key': Value(dtype='string', id=None), 'channels': Value(dtype='int64', id=None)}, 'recording': {'id': Value(dtype='string', id=None), 'sources': [{'type': Value(dtype='string', id=None), 'channels': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'source': Value(dtype='string', id=None)}], 'sampling_rate': Value(dtype='int64', id=None), 'num_samples': Value(dtype='int64', id=None), 'duration': Value(dtype='float64', id=None), 'channel_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'transforms': [{'name': Value(dtype='string', id=None), 'kwargs': {'source_sampling_rate': Value(dtype='int64', id=None), 'target_sampling_rate': Value(dtype='int64', id=None)}}]}, 'type': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'custom'})
This happened while the json dataset builder was generating data using
gzip://cuts_train.jsonl::hf://datasets/yuekai/wenetspeech4tts_lhotse_manifest@982fade7c7dc68171099c12263cfa28b72e5a93c/tokenized/cuts_train.jsonl.gz
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id
string | start
int64 | duration
float64 | channel
int64 | supervisions
list | features
dict | recording
dict | type
string |
|---|---|---|---|---|---|---|---|
Y0000003363_7vSL-4k4aW0_S00205-2280850 | 0 | 2.816 | 0 | [
{
"id": "Y0000003363_7vSL-4k4aW0_S00205",
"recording_id": "Y0000003363_7vSL-4k4aW0_S00205",
"start": 0,
"duration": 2.816,
"channel": 0,
"text": "我的好的，我立即给潘盼莲同志发报。",
"language": "Chinese",
"custom": {
"timestamp": "[[70, 90], [90, 130], [130, 210], [210, 300], [730, 950], [950, 1110], [1110, 1270], [1270, 1410], [1410, 1570], [1570, 1670], [1670, 1850], [1850, 1970], [1970, 2070], [2070, 2250], [2250, 2575]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 264,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 2.816,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "0,31105",
"channels": 0
} | {
"id": "Y0000003363_7vSL-4k4aW0_S00205",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/Y0000003363_7vSL-4k4aW0_S00205.wav"
}
],
"sampling_rate": 24000,
"num_samples": 67584,
"duration": 2.816,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
Y0000021463_tTslcZy5qLY_S00472-S00477-2280851 | 0 | 6.272 | 0 | [
{
"id": "Y0000021463_tTslcZy5qLY_S00472-S00477",
"recording_id": "Y0000021463_tTslcZy5qLY_S00472-S00477",
"start": 0,
"duration": 6.272,
"channel": 0,
"text": "如果钱不够的话，你再跟我要，我还给你们，真的啊，真的啊好好好。",
"language": "Chinese",
"custom": {
"timestamp": "[[130, 270], [270, 370], [370, 470], [470, 570], [570, 710], [710, 810], [810, 1050], [1070, 1210], [1210, 1310], [1310, 1390], [1390, 1470], [1470, 1710], [1930, 2030], [2030, 2210], [2210, 2330], [2330, 2450], [2450, 2690], [2930, 3110], [3110, 3350], [3530, 3750], [3750, 3850], [3850, 4090], [4130, 4370], [4410, 4590], [4590, 4750], [4750, 5125]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 588,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 6.272,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "31105,58623,10318",
"channels": 0
} | {
"id": "Y0000021463_tTslcZy5qLY_S00472-S00477",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/Y0000021463_tTslcZy5qLY_S00472-S00477.wav"
}
],
"sampling_rate": 24000,
"num_samples": 150528,
"duration": 6.272,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
X0000002453_8445320_S00038-2280852 | 0 | 3.072 | 0 | [
{
"id": "X0000002453_8445320_S00038",
"recording_id": "X0000002453_8445320_S00038",
"start": 0,
"duration": 3.072,
"channel": 0,
"text": "本来他们想钓鱼来吃。",
"language": "Chinese",
"custom": {
"timestamp": "[[470, 710], [750, 990], [1250, 1450], [1450, 1570], [1570, 1810], [1830, 2030], [2030, 2270], [2270, 2430], [2430, 2785]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 288,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 3.072,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "100046,33332",
"channels": 0
} | {
"id": "X0000002453_8445320_S00038",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/X0000002453_8445320_S00038.wav"
}
],
"sampling_rate": 24000,
"num_samples": 73728,
"duration": 3.072,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
Y0000011737_UDq5gxb041c_S00820-S00822-2280853 | 0 | 12.16 | 0 | [
{
"id": "Y0000011737_UDq5gxb041c_S00820-S00822",
"recording_id": "Y0000011737_UDq5gxb041c_S00820-S00822",
"start": 0,
"duration": 12.16,
"channel": 0,
"text": "第六十三军在铁元、南连川北地区接到的命令是就是把六十三军打光，也要坚守阵地十至十五天。",
"language": "Chinese",
"custom": {
"timestamp": "[[750, 990], [990, 1210], [1210, 1330], [1330, 1570], [1570, 1810], [1810, 1990], [1990, 2230], [2270, 2450], [2450, 2690], [3050, 3210], [3210, 3450], [3450, 3650], [3650, 3810], [3810, 4050], [4130, 4330], [4330, 4450], [4450, 4590], [4590, 4750], [4750, 4870], [4870, 5135], [5990, 6190], [6190, 6370], [6370, 6530], [6530, 6770], [6790, 6910], [6910, 7070], [7070, 7290], [7290, 7490], [7490, 7730], [8270, 8430], [8430, 8670], [8690, 8910], [8910, 9150], [9190, 9390], [9390, 9630], [9810, 10050], [10230, 10470], [10630, 10870], [10890, 11130], [11170, 11705]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 1140,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 12.16,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "133378,58268,58573,16765",
"channels": 0
} | {
"id": "Y0000011737_UDq5gxb041c_S00820-S00822",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/Y0000011737_UDq5gxb041c_S00820-S00822.wav"
}
],
"sampling_rate": 24000,
"num_samples": 291840,
"duration": 12.16,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
X0000026857_211339357_S00228-S00230-2280854 | 0 | 9.6 | 0 | [
{
"id": "X0000026857_211339357_S00228-S00230",
"recording_id": "X0000026857_211339357_S00228-S00230",
"start": 0,
"duration": 9.6,
"channel": 0,
"text": "嗯，就差最后那一步，也就是说她在你心里的一个位置，其实是一个很随便的女生，比较不自爱的女生。",
"language": "Chinese",
"custom": {
"timestamp": "[[50, 290], [490, 630], [630, 850], [850, 1050], [1050, 1190], [1190, 1350], [1350, 1530], [1530, 1770], [2270, 2430], [2430, 2550], [2550, 2630], [2630, 2750], [2750, 2950], [2950, 3130], [3130, 3350], [3350, 3590], [3610, 3790], [3790, 3950], [3950, 4090], [4090, 4230], [4230, 4430], [4430, 4670], [4690, 4790], [4790, 4970], [4970, 5170], [5170, 5270], [5270, 5410], [5410, 5650], [5690, 5930], [6050, 6290], [6350, 6490], [6490, 6630], [6630, 6870], [6890, 6990], [6990, 7230], [7530, 7770], [7790, 8010], [8010, 8250], [8310, 8450], [8450, 8670], [8670, 9175]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 900,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 9.6,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "266984,55978,45205",
"channels": 0
} | {
"id": "X0000026857_211339357_S00228-S00230",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/X0000026857_211339357_S00228-S00230.wav"
}
],
"sampling_rate": 24000,
"num_samples": 230400,
"duration": 9.6,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
Y0000015554_dbraOgDbH8M_S00399-S00400-2280855 | 0 | 6.144 | 0 | [
{
"id": "Y0000015554_dbraOgDbH8M_S00399-S00400",
"recording_id": "Y0000015554_dbraOgDbH8M_S00399-S00400",
"start": 0,
"duration": 6.144,
"channel": 0,
"text": "我心里不服袭人，哪怕他得十分也不恼他原。",
"language": "Chinese",
"custom": {
"timestamp": "[[110, 270], [270, 490], [490, 670], [670, 870], [870, 1195], [1930, 2170], [2190, 2430], [2630, 2770], [2770, 2970], [2970, 3130], [3130, 3330], [3330, 3570], [3650, 3890], [4410, 4650], [4670, 4870], [4870, 5110], [5130, 5370], [5750, 5975]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 576,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 6.144,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "368167,57620,8941",
"channels": 0
} | {
"id": "Y0000015554_dbraOgDbH8M_S00399-S00400",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/Y0000015554_dbraOgDbH8M_S00399-S00400.wav"
}
],
"sampling_rate": 24000,
"num_samples": 147456,
"duration": 6.144,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
X0000003821_12739557_S00174-2280856 | 0 | 1.792 | 0 | [
{
"id": "X0000003821_12739557_S00174",
"recording_id": "X0000003821_12739557_S00174",
"start": 0,
"duration": 1.792,
"channel": 0,
"text": "但那前提是国内要有的卖。",
"language": "Chinese",
"custom": {
"timestamp": "[[50, 130], [130, 250], [250, 330], [330, 490], [490, 730], [990, 1130], [1130, 1250], [1250, 1330], [1330, 1470], [1470, 1550], [1550, 1715]]",
"dns_mos": 3.6
}
}
] | {
"type": "MatchaFbank",
"num_frames": 168,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 1.792,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "434728,19155",
"channels": 0
} | {
"id": "X0000003821_12739557_S00174",
"sources": [
{
"type": "file",
"channels": [
0
],
"source": "/workspace/WenetSpeech4TTS/Basic/WenetSpeech4TTS_Basic_28/wavs/X0000003821_12739557_S00174.wav"
}
],
"sampling_rate": 24000,
"num_samples": 43008,
"duration": 1.792,
"channel_ids": [
0
],
"transforms": [
{
"name": "Resample",
"kwargs": {
"source_sampling_rate": 16000,
"target_sampling_rate": 24000
}
}
]
} | MonoCut |
X0000001220_14598333_S00915-S00919-2280857 | 0 | 7.552 | 0 | [
{
"id": "X0000001220_14598333_S00915-S00919",
"recording_id": "X0000001220_14598333_S00915-S00919",
"start": 0,
"duration": 7.552,
"channel": 0,
"text": "退休时间呢，国家法定的男的不是六十嘛，据说还要延长的都到六十五了。但是我是觉得呢",
"language": "Chinese",
"custom": {
"timestamp": "[[330, 470], [470, 690], [690, 830], [830, 1070], [1070, 1310], [1510, 1610], [1610, 1850], [1850, 2030], [2030, 2210], [2210, 2390], [2390, 2610], [2610, 2750], [2750, 2850], [2850, 3070], [3070, 3270], [3270, 3510], [3510, 3750], [3830, 4050], [4050, 4150], [4150, 4270], [4270, 4370], [4370, 4510], [4510, 4750], [4750, 4870], [4870, 4990], [4990, 5090], [5090, 5290], [5290, 5450], [5450, 5630], [5630, 5870], [6150, 6290], [6290, 6470], [6470, 6590], [6590, 6790], [6790, 6950], [6950, 7070], [7070, 7335]]",
"dns_mos": 3.7
}
}
] | {
"type": "MatchaFbank",
"num_frames": 708,
"num_features": 100,
"frame_shift": 0.010666666666666666,
"sampling_rate": 24000,
"start": 0,
"duration": 7.552,
"storage_type": "lilcom_chunky",
"storage_path": "data/fbank/wenetspeech4tts_bigvgan_Basic_58.lca",
"storage_key": "453883,55357,22973",
"channels": 0
} | {
"id": "X0000001220_14598333_S00915-S00919",
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X0000026031_255163217_S00517-2280874 | 0 | 2.048 | 0 | [
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Y0000001540_35bKB2jfRPI_S00206-S00207-2280875 | 0 | 4.096 | 0 | [
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Y0000011473_TZtxrXnpPvE_S00610-S00612-2280876 | 0 | 4.864 | 0 | [
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Y0000008313_LG2y9PrE4Ag_S00561-2280879 | 0 | 6.528 | 0 | [
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Y0000015172_ca2ShIdduk8_S00791-S00792-2280880 | 0 | 5.504 | 0 | [
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Y0000015820_ePOSscgcDmo_S00016-2280885 | 0 | 6.912 | 0 | [
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X0000007829_6280332_S01246-S01247-2280886 | 0 | 5.76 | 0 | [
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X0000015177_92884075_S00187-2280887 | 0 | 4.992 | 0 | [
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Y0000018020_kNlt7fxkNXs_S00005-2280888 | 0 | 1.792 | 0 | [
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Y0000016769_gukV1ZC7lKg_S01376-2280889 | 0 | 2.688 | 0 | [
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Y0000010376_QjonpZUsu9E_S00659-S00660-2280890 | 0 | 6.272 | 0 | [
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Y0000002569_5oeO9wUqndw_S01160-2280892 | 0 | 4.736 | 0 | [
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Y0000006656_GsXL6mBYnWo_S00318-S00321-2280896 | 0 | 12.672 | 0 | [
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Y0000000217_-Yh-WzY_GnA_S00098-S00104-2280897 | 0 | 13.184 | 0 | [
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Y0000000254_-eOClery4IE_S00087-S00089-2280899 | 0 | 6.528 | 0 | [
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Y0000018350_lFXEV2YUc74_S00308-S00310-2280900 | 0 | 7.552 | 0 | [
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Y0000021676_u4AUjajKpu4_S00032-S00035-2280911 | 0 | 8.576 | 0 | [
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X0000009521_61673605_S00551-S00554-2280921 | 0 | 10.88 | 0 | [
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Y0000007062_HvRqAVwHrys_S00113-S00114-2280922 | 0 | 5.248 | 0 | [
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X0000004132_125851190_S00218-S00220-2280923 | 0 | 3.84 | 0 | [
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X0000029041_184539013_S00028-2280927 | 0 | 3.456 | 0 | [
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Y0000001042_1jwv-wv4DJo_S00033-S00035-2280928 | 0 | 5.504 | 0 | [
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Y0000010016_PoxpC5abUc4_S00979-S00985-2280929 | 0 | 13.952 | 0 | [
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Y0000010983_SPhZGduZz48_S00323-S00329-2280930 | 0 | 14.848 | 0 | [
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Y0000013893__5NrITSwy4E_S00291-S00292-2280931 | 0 | 9.6 | 0 | [
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X0000030649_92016710_S00235-2280932 | 0 | 4.096 | 0 | [
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Y0000012746_Wq782ya7XzQ_S00266-S00267-2280933 | 0 | 5.632 | 0 | [
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X0000010246_373957207_S00144-S00145-2280934 | 0 | 4.736 | 0 | [
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Y0000016227_fWBytj1RCnw_S00188-2280935 | 0 | 3.456 | 0 | [
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X0000027669_180346259_S00383-S00384-2280936 | 0 | 5.376 | 0 | [
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X0000027281_44345577_S00728-S00734-2280937 | 0 | 14.976 | 0 | [
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Y0000000417_03fyy0ZdRzA_S00217-2280940 | 0 | 2.688 | 0 | [
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X0000026582_288916978_S00346-2280942 | 0 | 2.176 | 0 | [
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Y0000016345_fo0bhj9DVJw_S02165-2280943 | 0 | 5.248 | 0 | [
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Y0000014487_agmAZTFChmU_S00603-2280944 | 0 | 8.576 | 0 | [
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Y0000006420_GG2bChYd43I_S00280-2280945 | 0 | 2.56 | 0 | [
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X0000025630_326537898_S00009-2280946 | 0 | 2.048 | 0 | [
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X0000028601_180522992_S00083-S00085-2280947 | 0 | 12.672 | 0 | [
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Y0000023494_ywMqD4dnxA4_S00279-S00280-2280948 | 0 | 4.736 | 0 | [
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