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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_dev.jsonl::hf://datasets/yuekai/wenetspeech4tts_lhotse_manifest@f80067f0ba2c847312b71483ebc67559c8808742/tokenized/cuts_dev.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), 'speech_tokens': Value(dtype='string', 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 1415, 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 991, 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_dev.jsonl::hf://datasets/yuekai/wenetspeech4tts_lhotse_manifest@f80067f0ba2c847312b71483ebc67559c8808742/tokenized/cuts_dev.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,
"speech_tokens": "5891 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4137 4218 1420 1457 626 2323 1614 4615 5020 3239 1122 4758 3228 3239 2672 1095 889 872 2160 5346 5995 6157 1333 333 734 3831 836 611 4559 1047 2511 1340 4069 1518 3870 1522 6456 677 1952 406 2160 2870 599 5589 2685 1987 2031 2031 4137 4137 4137 4137 4137 6082"
}
}
] | {
"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,
"speech_tokens": "1517 2031 2040 1506 3880 3636 660 1190 4674 2301 746 3340 2184 2908 498 2664 5829 1451 1747 599 574 1340 1244 1703 1701 3975 2031 4299 1807 3104 6384 29 1090 3590 689 890 4778 2432 2678 1228 2040 4299 4299 4299 4299 6405 6405 4218 4299 2112 2186 719 4860 3646 2384 1194 186 386 1483 268 44 1995 2916 2997 5133 2949 4299 4299 4299 6486 6486 6486 4299 4299 1815 4512 4614 2289 6504 63 4391 6076 6076 6076 3889 1944 2031 1461 1803 1100 1334 95 932 2390 60 3141 182 3912 2927 1225 2037 1950 4299 2121 5473 4492 5140 3196 4852 4842 5005 4664 4629 4986 2702 518 4970 4727 4862 4951 4986 4869 596 2675 2759 2786 4970 4816 4735 3443 3415 4299 2031 3897 5193 5193 5277 5305 5224 5464 6202 2076 1944 2943 1740 3924 3240 5346 6156 5106 5136 2922 2922 3651 1788 4299 2031"
}
}
] | {
"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,
"speech_tokens": "3716 6486 6486 6405 6405 6405 6405 6405 6405 6405 6405 6405 4299 1441 2378 2219 1507 3694 3719 1532 1463 3647 3647 3650 2924 2924 4463 4553 2275 3894 3894 2112 1515 5106 5842 1055 4314 1883 4391 4686 4922 78 1463 983 991 2121 2163 4696 4570 5671 4955 1451 2104 2104 1861 3886 4614 5985 4943 5834 2276 4850 474 3462 5323 6048 120 5263 4611 4609 1520 2031 3894 5919 4299 4299 4137"
}
}
] | {
"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,
"speech_tokens": "3956 1968 1950 4218 6405 6324 6324 6324 6324 6324 6324 6324 6324 6324 6324 4137 4137 4218 1578 3077 2483 2483 3455 5642 238 76 4858 5338 1453 2183 3709 6048 79 794 6374 632 4456 5206 3994 2733 879 4049 4529 4234 3994 6375 2558 2354 152 879 2085 2193 4947 1294 314 62 386 4291 3802 1199 3029 5232 3993 46 1703 1703 37 5937 990 1296 573 2059 4137 4218 6324 4137 1833 1602 566 386 2273 4560 1752 6048 1234 4726 6282 2158 1161 116 638 404 1923 123 5642 566 4920 6297 1534 4049 6317 3883 1986 2112 1275 4677 5668 5260 4616 1815 118 2786 1350 308 29 2043 5286 5073 4993 1914 1833 296 1106 1014 4590 4593 1613 878 1606 1726 1969 1969 1716 4137 6405 6324 6324 6324 6324 6324 6324 6324 6324 6324 6324 6324 4137 4137 4191 5648 2499 4049 5573 2912 1454 5887 5238 119 2163 677 4136 3890 821 1506 2320 4614 4124 4373 2180 3699 5319 134 3719 6377 2746 4457 3020 1266 4038 5261 2289 2049 2004 37 4133 3406 1945 1703 2097 1308 4370 4949 5005 5526 3532 1951 1951 4137 4137 6405 6405 6324 6324 6324 6324 6324 6324 4137 2049 1267 314 4769 2751 2752 2594 710 64 2166 5407 4659 4606 4487 5233 5236 6101 4915 4671 1361 869 1133 2058 2565 4573 2309 2076 4197 4197 5344 566 557 1950 1230 1707 1707 1731 5401 4512 5241 4512 798 1538 809 2264 5286 3198 6352 6375 1977 2031 2031 4677 2334 5180 809 1538 5967 4509 4432 4759 2244 806 2992 5314 6043 6526 4370 1834 1768 1750 1526 1959 1950 286 2384 4382 68 1743 1461 1744 3968 1744 1040 1732 1733 1959 4137 6324 6324 6324 6324 6324 6324 6324 6324"
}
}
] | {
"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,
"speech_tokens": "3206 6122 5879 3692 1505 1505 1748 1748 1723 2040 4218 4299 4920 3378 5572 5161 4590 3654 6085 6238 55 3435 5784 2320 4600 2831 2754 2850 5102 2935 5937 4396 4508 296 4886 4994 6016 4314 2166 6534 5097 5099 728 1457 2086 1363 2173 2031 4299 6405 6405 6405 6405 6405 6405 6405 4218 2031 1042 71 2348 2508 3075 6310 5259 5565 5087 4753 1032 2187 6075 4212 6238 4536 1272 5652 4402 4382 44 3670 1970 1259 1268 4435 5482 4675 4675 4677 4696 4858 4588 6258 5210 620 770 1044 59 71 5668 5640 3481 1295 2185 1992 4529 5078 5824 6477 3636 4611 5102 404 303 3063 1607 3074 876 5650 4675 285 2996 5247 3717 6070 5248 6048 6048 3036 4532 3482 3482 2915 4372 252 2486 5077 6345 4860 3405 506 497 4151 4914 5482 4752 5211 5727 3459 1127 962 566 5669 1699 2031 1743 5667 4525 4540 2242 3669 3178 2261 2941 4156 1079 1943 971 4485 4839 943 353 661 6499 2139 1690 4940 1941 69 197 5054 5086 156 2058 6183 6132 3918 4299 6405 6405 4218 4138 3580 1403 2156 6445 3312 2031 6387 6376 6382 4204 4771 4403 4537 5998 5272 4463 521 67 2004 65 65 807 6100 2780 1700 1615 3806 6048 6048 5242 850 326 4988 6503 4235 2031 4218 4218 6405 6405 6405 6405 6405 6405 6405 6405 6405 6405 6405"
}
}
] | {
"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。",
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X0000014750_135935928_S00092-2280868 | 0 | 2.304 | 0 | [
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Y0000012236_VVoPmMRVDu0_S00508-2280869 | 0 | 7.168 | 0 | [
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X0000014675_103429408_S00166-2280870 | 0 | 2.944 | 0 | [
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X0000014644_139843540_S00183-S00184-2280871 | 0 | 3.456 | 0 | [
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Y0000019042_n5C6_cIN7K8_S00431-2280872 | 0 | 8.32 | 0 | [
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Y0000001540_35bKB2jfRPI_S00206-S00207-2280875 | 0 | 4.096 | 0 | [
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X0000035375_38638796_S00132-2280881 | 0 | 8.32 | 0 | [
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X0000033515_300543863_S00000-2280882 | 0 | 1.408 | 0 | [
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X0000015885_237301724_S00312-S00315-2280883 | 0 | 9.856 | 0 | [
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Y0000014942_bzWtIEqg70U_S00882-2280884 | 0 | 5.248 | 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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X0000024468_310456653_S00018-S00019-2280891 | 0 | 5.888 | 0 | [
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Y0000002569_5oeO9wUqndw_S01160-2280892 | 0 | 4.736 | 0 | [
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Y0000006541_GZwu0dOgG3A_S00238-2280893 | 0 | 3.456 | 0 | [
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X0000026347_306615401_S00369-2280894 | 0 | 3.2 | 0 | [
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Y0000006666_Gv2unDyHaiM_S01113-2280895 | 0 | 5.504 | 0 | [
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Y0000006656_GsXL6mBYnWo_S00318-S00321-2280896 | 0 | 12.672 | 0 | [
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Y0000022561_wQ5-egfhtcQ_S00771-S00780-2280909 | 0 | 20.992 | 0 | [
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Y0000015703_e4DGSrdnTn0_S00482-2280910 | 0 | 2.304 | 0 | [
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Y0000021676_u4AUjajKpu4_S00032-S00035-2280911 | 0 | 8.576 | 0 | [
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X0000030557_55909037_S00184-2280916 | 0 | 4.352 | 0 | [
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Y0000010270_QQuA0LIRyYY_S00138-S00140-2280917 | 0 | 5.632 | 0 | [
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X0000027060_104031058_S00364-S00365-2280918 | 0 | 3.584 | 0 | [
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X0000003199_12915270_S00028-2280919 | 0 | 4.992 | 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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X0000011422_55951656_S00192-2280924 | 0 | 2.688 | 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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"text": "行，那我们回避。哎，没关系，没关系的，反正你们都知道了，我应该坦白对你们所有人坦班坦白什么？展伯的话，让我明白了，不应该对朋友撒谎。",
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Y0000010983_SPhZGduZz48_S00323-S00329-2280930 | 0 | 14.848 | 0 | [
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"text": "还别扭呢，你这就没劲了啊，你才没劲呢。你看你现在多威风啊，临危不惧勇斗歹徒，你可是我们全场瞩目的大英雄。好，你就是这么帮我的。",
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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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"text": "除非喜欢到想跟他一辈子在一起。",
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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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End of preview.