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Set both names and IDs in mlc's test fixtures. #5618

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4 changes: 2 additions & 2 deletions tensorflow_datasets/core/utils/croissant_utils_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@ def test_get_split_recordset():
),
mlc.RecordSet(
id='splits',
key='name',
key='splits/name',
data_types=[mlc.DataType.SPLIT],
fields=[
mlc.Field(
Expand All @@ -95,7 +95,7 @@ def test_get_split_recordset_with_no_split_recordset():
record_sets = [
mlc.RecordSet(
id='labels',
key='name',
key='labels/label',
fields=[
mlc.Field(
id='labels/label',
Expand Down
4 changes: 4 additions & 0 deletions tensorflow_datasets/testing/test_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -736,6 +736,7 @@ def dummy_croissant_file(

fields = [
mlc.Field(
id='index',
name='index',
description='The sample index.',
data_types=mlc.DataType.INTEGER,
Expand All @@ -745,6 +746,7 @@ def dummy_croissant_file(
),
),
mlc.Field(
id='text',
name='text',
description='The dummy sample text.',
data_types=mlc.DataType.TEXT,
Expand All @@ -758,6 +760,7 @@ def dummy_croissant_file(
record_sets = [
mlc.RecordSet(
id='jsonl',
name='jsonl',
description='Dummy record set.',
fields=fields,
)
Expand All @@ -778,6 +781,7 @@ def dummy_croissant_file(
distribution = [
mlc.FileObject(
id='raw_data',
name='raw_data',
description='File with the data.',
encoding_format='application/jsonlines',
content_url=f'data/{raw_data_filename}',
Expand Down
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