Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
0: uint8
1: uint8
2: uint8
3: uint8
4: uint8
5: uint8
6: uint8
7: uint8
8: uint8
9: uint8
10: uint8
11: uint8
12: uint8
13: uint8
14: uint8
15: uint8
16: uint8
17: uint8
18: uint8
19: uint8
20: uint8
21: uint8
22: uint8
23: uint8
24: uint8
25: uint8
26: uint8
27: uint8
28: uint8
29: uint8
30: uint8
31: uint8
32: uint8
33: uint8
34: uint8
35: uint8
36: uint8
37: uint8
38: uint8
39: uint8
40: uint8
41: uint8
42: uint8
43: uint8
44: uint8
45: uint8
46: uint8
47: uint8
48: uint8
49: uint8
50: uint8
51: uint8
52: uint8
53: uint8
54: uint8
55: uint8
56: uint8
57: uint8
58: uint8
59: uint8
60: uint8
61: uint8
62: uint8
63: uint8
64: uint8
65: uint8
66: uint8
67: uint8
68: uint8
69: uint8
70: uint8
71: uint8
72: uint8
73: uint8
74: uint8
75: uint8
76: uint8
77: uint8
78: uint8
79: uint8
80: uint8
81: uint8
82: uint8
83: uint8
84: uint8
85: uint8
86: uint8
87: uint8
88: uint8
89: uint8
90: uint8
91: uint8
92: uint8
93: uint8
94: uint8
95: uint8
96: uint8
97: uint8
98: uint8
99: uint8
100: uint8
101: uint8
102: uint8
103: uint8
104: uint8
105: uint8
106: uint8
107: uint8
108: uint8
109: uint8
110: uint8
111: uint8
112: uint8
113: uint8
114: uint8
115: uint8
116: uint8
117: uint8
118: uint8
119: uint8
120: uint8
121: uint8
122: uint8
123: uint8
124: uint8
125: uint8
126: uint8
127: uint8
128: uint8
129: uint8
130: uint8
131: uint8
132: uint8
133: uint8
134: uint8
135: uint8
136: uint8
137: uint8
138: uint8
139: uint8
140: uint8
141: uint8
142: uint8
143: uint8
144: uint8
145: uint8
146:
...
uint8
388701: uint8
388702: uint8
388703: uint8
388704: uint8
388705: uint8
388706: uint8
388707: uint8
388708: uint8
388709: uint8
388710: uint8
388711: uint8
388712: uint8
388713: uint8
388714: uint8
388715: uint8
388716: uint8
388717: uint8
388718: uint8
388719: uint8
388720: uint8
388721: uint8
388722: uint8
388723: uint8
388724: uint8
388725: uint8
388726: uint8
388727: uint8
388728: uint8
388729: uint8
388730: uint8
388731: uint8
388732: uint8
388733: uint8
388734: uint8
388735: uint8
388736: uint8
388737: uint8
388738: uint8
388739: uint8
388740: uint8
388741: uint8
388742: uint8
388743: uint8
388744: uint8
388745: uint8
388746: uint8
388747: uint8
388748: uint8
388749: uint8
388750: uint8
388751: uint8
388752: uint8
388753: uint8
388754: uint8
388755: uint8
388756: uint8
388757: uint8
388758: uint8
388759: uint8
388760: uint8
388761: uint8
388762: uint8
388763: uint8
388764: uint8
388765: uint8
388766: uint8
388767: uint8
388768: uint8
388769: uint8
388770: uint8
388771: uint8
388772: uint8
388773: uint8
388774: uint8
388775: uint8
388776: uint8
388777: uint8
388778: uint8
388779: uint8
388780: uint8
388781: uint8
388782: uint8
388783: uint8
388784: uint8
388785: uint8
388786: uint8
388787: uint8
388788: uint8
388789: uint8
388790: uint8
388791: uint8
388792: uint8
388793: uint8
388794: uint8
388795: uint8
388796: uint8
388797: uint8
388798: uint8
388799: uint8
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 42157220
to
{'filename': Value('string'), 'video_metadata': {'duration': Value('float64'), 'fps': Value('float64'), 'size': List(Value('int64'))}, 'json_metadata': {'meetingContent': Value('string'), 'meetingDate': Value('string'), 'meetingName': Value('string'), 'meetingTime': Value('string'), 'meetingTypeName': Value('string'), 'selectTerm': Value('string'), 'sessionPeriod': Value('string'), 'videoUrl': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
0: uint8
1: uint8
2: uint8
3: uint8
4: uint8
5: uint8
6: uint8
7: uint8
8: uint8
9: uint8
10: uint8
11: uint8
12: uint8
13: uint8
14: uint8
15: uint8
16: uint8
17: uint8
18: uint8
19: uint8
20: uint8
21: uint8
22: uint8
23: uint8
24: uint8
25: uint8
26: uint8
27: uint8
28: uint8
29: uint8
30: uint8
31: uint8
32: uint8
33: uint8
34: uint8
35: uint8
36: uint8
37: uint8
38: uint8
39: uint8
40: uint8
41: uint8
42: uint8
43: uint8
44: uint8
45: uint8
46: uint8
47: uint8
48: uint8
49: uint8
50: uint8
51: uint8
52: uint8
53: uint8
54: uint8
55: uint8
56: uint8
57: uint8
58: uint8
59: uint8
60: uint8
61: uint8
62: uint8
63: uint8
64: uint8
65: uint8
66: uint8
67: uint8
68: uint8
69: uint8
70: uint8
71: uint8
72: uint8
73: uint8
74: uint8
75: uint8
76: uint8
77: uint8
78: uint8
79: uint8
80: uint8
81: uint8
82: uint8
83: uint8
84: uint8
85: uint8
86: uint8
87: uint8
88: uint8
89: uint8
90: uint8
91: uint8
92: uint8
93: uint8
94: uint8
95: uint8
96: uint8
97: uint8
98: uint8
99: uint8
100: uint8
101: uint8
102: uint8
103: uint8
104: uint8
105: uint8
106: uint8
107: uint8
108: uint8
109: uint8
110: uint8
111: uint8
112: uint8
113: uint8
114: uint8
115: uint8
116: uint8
117: uint8
118: uint8
119: uint8
120: uint8
121: uint8
122: uint8
123: uint8
124: uint8
125: uint8
126: uint8
127: uint8
128: uint8
129: uint8
130: uint8
131: uint8
132: uint8
133: uint8
134: uint8
135: uint8
136: uint8
137: uint8
138: uint8
139: uint8
140: uint8
141: uint8
142: uint8
143: uint8
144: uint8
145: uint8
146:
...
uint8
388701: uint8
388702: uint8
388703: uint8
388704: uint8
388705: uint8
388706: uint8
388707: uint8
388708: uint8
388709: uint8
388710: uint8
388711: uint8
388712: uint8
388713: uint8
388714: uint8
388715: uint8
388716: uint8
388717: uint8
388718: uint8
388719: uint8
388720: uint8
388721: uint8
388722: uint8
388723: uint8
388724: uint8
388725: uint8
388726: uint8
388727: uint8
388728: uint8
388729: uint8
388730: uint8
388731: uint8
388732: uint8
388733: uint8
388734: uint8
388735: uint8
388736: uint8
388737: uint8
388738: uint8
388739: uint8
388740: uint8
388741: uint8
388742: uint8
388743: uint8
388744: uint8
388745: uint8
388746: uint8
388747: uint8
388748: uint8
388749: uint8
388750: uint8
388751: uint8
388752: uint8
388753: uint8
388754: uint8
388755: uint8
388756: uint8
388757: uint8
388758: uint8
388759: uint8
388760: uint8
388761: uint8
388762: uint8
388763: uint8
388764: uint8
388765: uint8
388766: uint8
388767: uint8
388768: uint8
388769: uint8
388770: uint8
388771: uint8
388772: uint8
388773: uint8
388774: uint8
388775: uint8
388776: uint8
388777: uint8
388778: uint8
388779: uint8
388780: uint8
388781: uint8
388782: uint8
388783: uint8
388784: uint8
388785: uint8
388786: uint8
388787: uint8
388788: uint8
388789: uint8
388790: uint8
388791: uint8
388792: uint8
388793: uint8
388794: uint8
388795: uint8
388796: uint8
388797: uint8
388798: uint8
388799: uint8
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 42157220
to
{'filename': Value('string'), 'video_metadata': {'duration': Value('float64'), 'fps': Value('float64'), 'size': List(Value('int64'))}, 'json_metadata': {'meetingContent': Value('string'), 'meetingDate': Value('string'), 'meetingName': Value('string'), 'meetingTime': Value('string'), 'meetingTypeName': Value('string'), 'selectTerm': Value('string'), 'sessionPeriod': Value('string'), 'videoUrl': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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