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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 5 new columns ({'recording', 'duration', 'supervisions', 'start', 'channel'}) and 1 missing columns ({'tracks'}).
This happened while the json dataset builder was generating data using
gzip://lsheavymix_cuts_train_medium_snr_aug_mono_rir.jsonl::hf://datasets/zrjin/LibriheavyMix-medium@d501c5131dee97cb331589fde10e2be131a47659/medium-lhotse/lsheavymix_cuts_train_medium_snr_aug_mono_rir.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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
start: double
duration: double
channel: int64
supervisions: list<item: struct<id: string, recording_id: string, start: double, duration: double, channel: int64, language: string, speaker: string, custom: struct<texts: list<item: string>, pre_texts: list<item: string>, begin_byte: int64, end_byte: int64>>>
child 0, item: struct<id: string, recording_id: string, start: double, duration: double, channel: int64, language: string, speaker: string, custom: struct<texts: list<item: string>, pre_texts: list<item: string>, begin_byte: int64, end_byte: int64>>
child 0, id: string
child 1, recording_id: string
child 2, start: double
child 3, duration: double
child 4, channel: int64
child 5, language: string
child 6, speaker: string
child 7, custom: struct<texts: list<item: string>, pre_texts: list<item: string>, begin_byte: int64, end_byte: int64>
child 0, texts: list<item: string>
child 0, item: string
child 1, pre_texts: list<item: string>
child 0, item: string
child 2, begin_byte: int64
child 3, end_byte: int64
recording: struct<id: string, sources: list<item: struct<type: string, channels: list<item: int64>, source: string>>, sampling_rate: int64, num_samples: int64, duration: double, channel_ids: list<item: 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
type: string
to
{'id': Value(dtype='string', id=None), 'tracks': [{'cut': {'id': Value(dtype='string', id=None), 'start': Value(dtype='float64', 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='int64', id=None), 'duration': Value(dtype='float64', id=None), 'channel': Value(dtype='int64', id=None), 'language': Value(dtype='string', id=None), 'speaker': Value(dtype='string', id=None), 'custom': {'texts': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'pre_texts': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'begin_byte': Value(dtype='int64', id=None), 'end_byte': Value(dtype='int64', 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='float64', 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), 'recording_id': 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(fea
...
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='float64', 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), 'recording_id': 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)}, 'custom': {'text_path': Value(dtype='string', id=None)}, 'sampling_rate': Value(dtype='int64', id=None), 'feat_value': Value(dtype='float64', id=None), 'num_frames': Value(dtype='int64', id=None), 'num_features': Value(dtype='int64', id=None), 'frame_shift': Value(dtype='float64', id=None), 'num_samples': Value(dtype='int64', id=None)}, 'type': Value(dtype='string', id=None), 'offset': Value(dtype='float64', id=None)}]}, 'type': Value(dtype='string', id=None), 'offset': Value(dtype='float64', 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 1529, 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 1100, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 5 new columns ({'recording', 'duration', 'supervisions', 'start', 'channel'}) and 1 missing columns ({'tracks'}).
This happened while the json dataset builder was generating data using
gzip://lsheavymix_cuts_train_medium_snr_aug_mono_rir.jsonl::hf://datasets/zrjin/LibriheavyMix-medium@d501c5131dee97cb331589fde10e2be131a47659/medium-lhotse/lsheavymix_cuts_train_medium_snr_aug_mono_rir.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 | tracks list | type string |
|---|---|---|
95d90028-cb26-4421-83d9-58199588e5f9 | [
{
"cut": {
"id": "medium/4358/history_ofa_life_0910_librivox_64kb_mp3/historyofalife_cornwall_kts_64kb_2_repeat0",
"start": 46.32,
"duration": 14.479,
"channel": 0,
"supervisions": [
{
"id": "medium/4358/history_ofa_life_0910_librivox_64kb_mp3/historyofalife_cornw... | MixedCut |
e41e2a41-06b4-4113-a0ce-79600f195958 | [
{
"cut": {
"id": "medium/823/my_paddle_librivox_64kb_mp3/song_my_paddle_sings_johnson_sdw_64kb_7_repeat0",
"start": 44.12,
"duration": 9.28,
"channel": 0,
"supervisions": [
{
"id": "medium/823/my_paddle_librivox_64kb_mp3/song_my_paddle_sings_johnson_sdw_64kb_7",
... | MixedCut |
3c7bf5ab-c752-4ea7-8825-2888ce6d7d9e | [
{
"cut": {
"id": "medium/1737/golden_age_0711_librivox_64kb_mp3/goldenage_02_grahame_64kb_4_repeat0",
"start": 678.16,
"duration": 10.24,
"channel": 0,
"supervisions": [
{
"id": "medium/1737/golden_age_0711_librivox_64kb_mp3/goldenage_02_grahame_64kb_4",
... | MixedCut |
0415be69-07b6-4163-a591-d4e6cc84f75e | [
{
"cut": {
"id": "medium/1093/short_stories14_librivox_64kb_mp3/history_of_england_austen_kp_64kb_6_repeat0",
"start": 186.52,
"duration": 14.599,
"channel": 0,
"supervisions": [
{
"id": "medium/1093/short_stories14_librivox_64kb_mp3/history_of_england_austen_kp_6... | MixedCut |
1eb5fae1-f349-4c40-b301-5766db3864c2 | [
{
"cut": {
"id": "medium/1088/twisted_candle_librivox_64kb_mp3/twistedcandle_09_wallace_64kb_72_repeat0",
"start": 840.24,
"duration": 13.72,
"channel": 0,
"supervisions": [
{
"id": "medium/1088/twisted_candle_librivox_64kb_mp3/twistedcandle_09_wallace_64kb_72",
... | MixedCut |
797e941a-50ac-4f4c-97e3-bb077faf7b9b | [
{
"cut": {
"id": "medium/2060/antonia_0801_librivox1_64kb_mp3/myantonia_01-10_cather_64kb_41_repeat0",
"start": 316.16,
"duration": 8.16,
"channel": 0,
"supervisions": [
{
"id": "medium/2060/antonia_0801_librivox1_64kb_mp3/myantonia_01-10_cather_64kb_41",
... | MixedCut |
9b19f722-771a-416b-923a-397ce958c930 | [
{
"cut": {
"id": "medium/2319/trumpetmajor_0904_librivox_64kb_mp3/trumpetmajor_09_hardy_64kb_52_repeat0",
"start": 492.88,
"duration": 8.399,
"channel": 0,
"supervisions": [
{
"id": "medium/2319/trumpetmajor_0904_librivox_64kb_mp3/trumpetmajor_09_hardy_64kb_52",
... | MixedCut |
58619241-a1ad-489a-9b7e-cb35c43f4b03 | [
{
"cut": {
"id": "medium/1084/dead_mens_money_librivox_64kb_mp3/deadmensmoney_15_fletcher_64kb_7_repeat0",
"start": 544.44,
"duration": 10.4,
"channel": 0,
"supervisions": [
{
"id": "medium/1084/dead_mens_money_librivox_64kb_mp3/deadmensmoney_15_fletcher_64kb_7",
... | MixedCut |
67e13f43-d6b0-4a00-afc3-99ebf7b6d7f1 | [
{
"cut": {
"id": "medium/1447/memoirs_casanova1_0812_librivox_64kb_mp3/casanova1_09_casanova_64kb_98_repeat0",
"start": 965.56,
"duration": 13.96,
"channel": 0,
"supervisions": [
{
"id": "medium/1447/memoirs_casanova1_0812_librivox_64kb_mp3/casanova1_09_casanova_6... | MixedCut |
87a4d067-41dd-456a-aec1-484cbb4b3b99 | [
{
"cut": {
"id": "medium/5468/artofstagedancing_1404_librivox_64kb_mp3/artofstagedancing_20_wayburn_64kb_45_repeat0",
"start": 1520.9599375,
"duration": 8.28,
"channel": 0,
"supervisions": [
{
"id": "medium/5468/artofstagedancing_1404_librivox_64kb_mp3/artofstaged... | MixedCut |
364da2c4-87a8-4534-b11d-f3234d74f4c9 | [
{
"cut": {
"id": "medium/1289/truth_about_jesus_librivox_64kb_mp3/jesus_myth_mangasarian_18_jp_nc_64kb_45_repeat0",
"start": 405.16,
"duration": 11.359,
"channel": 0,
"supervisions": [
{
"id": "medium/1289/truth_about_jesus_librivox_64kb_mp3/jesus_myth_mangasarian... | MixedCut |
1d7a21d7-4ef0-4a15-a019-f51aff9b06b4 | [
{
"cut": {
"id": "medium/479/leaves_of_grass_librivox_64kb_mp3/leaves_22_whitman_64kb_3_repeat0",
"start": 893.92,
"duration": 9.44,
"channel": 0,
"supervisions": [
{
"id": "medium/479/leaves_of_grass_librivox_64kb_mp3/leaves_22_whitman_64kb_3",
"recordi... | MixedCut |
b95e53f7-9e47-4783-8aed-ab3f9dbd1dda | [
{
"cut": {
"id": "medium/3698/kwaidan_1005_librivox_64kb_mp3/kwaidan_01_hearn_64kb_59_repeat0",
"start": 1144.72,
"duration": 6.68,
"channel": 0,
"supervisions": [
{
"id": "medium/3698/kwaidan_1005_librivox_64kb_mp3/kwaidan_01_hearn_64kb_59",
"recording_... | MixedCut |
5bb8e707-24ed-4f40-8f8d-9415aefc46cf | [
{
"cut": {
"id": "medium/5303/tolstoy_shakespeare_1010_librivox_64kb_mp3/shakespeare_03_tolstoy_64kb_14_repeat0",
"start": 262.16,
"duration": 14.32,
"channel": 0,
"supervisions": [
{
"id": "medium/5303/tolstoy_shakespeare_1010_librivox_64kb_mp3/shakespeare_03_tol... | MixedCut |
10cdef51-8f4c-4e27-b335-026c07cd4c29 | [
{
"cut": {
"id": "medium/3519/american_womens_lit_1004_librivox_64kb_mp3/awl-11_shelteredgarden_doolittle_64kb_0_repeat0",
"start": 132.48,
"duration": 10.68,
"channel": 0,
"supervisions": [
{
"id": "medium/3519/american_womens_lit_1004_librivox_64kb_mp3/awl-11_sh... | MixedCut |
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