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: TypeError
Message: Couldn't cast array of type
struct<21: string, 45: string, 56: string, 66: string, 67: string, 86: string, 111: string, 119: string, 159: string, 180: string, 182: string, 189: string, 205: string, 213: string, 245: string, 246: string, 272: string, 299: string, 328: string, 330: string, 333: string, 361: string, 376: string, 382: string, 385: string, 388: string, 390: string, 421: string, 423: string, 428: string, 447: string, 465: string, 470: string, 512: string, 517: string, 524: string, 560: string, 566: string, 586: string, 594: string, 595: string, 598: string, 606: string, 633: string, 638: string, 645: string, 659: string, 662: string, 682: string, 685: string, 702: string, 710: string, 728: string, 732: string, 734: string, 738: string, 749: string, 805: string, 818: string, 831: string, 878: string, 895: string, 898: string, 925: string, 927: string, 938: string, 943: string, 947: string, 951: string, 956: string, 971: string, 981: string, 1020: string, 1031: string, 1073: string, 1092: string, 1093: string, 1112: string, 1123: string, 1158: string, 1163: string, 1171: string, 1187: string, 1227: string, 1238: string, 1254: string, 1259: string, 1285: string, 1286: string, 1287: string, 1332: string, 1335: string, 1351: string, 1361: string, 1371: string, 1372: string, 1377: string, 1394: string, 1403: string, 1405: string, 1415: string, 1427: string, 1448: string, 1455: string, 1470: string, 1501: string, 1522: string, 1538: string, 1545: string, 1547: string, 1574: string, 1575: string, 1577: string, 1580: string, 1584: string, 1603: string, 1620: string, 1633: string, 1636: string, 1642: string, 1689: string, 1706: string, 1711: string, 1713: string, 1720: string, 1727: string, 1738: string, 1742: string, 1770: string, 1777: string, 1806: string, 1811: string, 1812: string, 1814: string, 1823: string, 1825: string, 1836: string, 1840: string, 1842: string, 1857: string, 1875: string, 1885: string, 1895: string, 1900: string, 1902: string, 1903: string, 1911: string, 1912: string, 1922: string, 1928: string, 1938: string, 1944: string, 1958: string, 1976: string, 1978: string, 1990: string, 1999: string, 2002: string, 2021: string, 2032: string>
to
{'7': Value('string'), '22': Value('string'), '28': Value('string'), '62': Value('string'), '63': Value('string'), '66': Value('string'), '74': Value('string'), '75': Value('string'), '84': Value('string'), '96': Value('string'), '97': Value('string'), '118': Value('string'), '123': Value('string'), '134': Value('string'), '148': Value('string'), '156': Value('string'), '157': Value('string'), '158': Value('string'), '159': Value('string'), '170': Value('string'), '171': Value('string'), '177': Value('string'), '194': Value('string'), '201': Value('string'), '204': Value('string'), '205': Value('string'), '207': Value('string'), '218': Value('string'), '219': Value('string'), '265': Value('string'), '269': Value('string'), '270': Value('string'), '271': Value('string'), '284': Value('string'), '285': Value('string'), '294': Value('string'), '306': Value('string'), '307': Value('string'), '334': Value('string'), '349': Value('string'), '360': Value('string'), '372': Value('string'), '373': Value('string'), '390': Value('string'), '404': Value('string'), '424': Value('string'), '425': Value('string'), '428': Value('string'), '429': Value('string'), '430': Value('string'), '431': Value('string'), '444': Value('string'), '445': Value('string'), '464': Value('string'), '465': Value('string'), '472': Value('string'), '473': Value('string'), '518': Value('string'), '519': Value('string'), '534': Value('string'), '535': Value('string'), '536': Value('string'), '537': Value('string'),
...
'1446': Value('string'), '1473': Value('string'), '1480': Value('string'), '1481': Value('string'), '1570': Value('string'), '1571': Value('string'), '1623': Value('string'), '1629': Value('string'), '1637': Value('string'), '1638': Value('string'), '1663': Value('string'), '1674': Value('string'), '1675': Value('string'), '1692': Value('string'), '1736': Value('string'), '1747': Value('string'), '1767': Value('string'), '1768': Value('string'), '1792': Value('string'), '1794': Value('string'), '1840': Value('string'), '1868': Value('string'), '1870': Value('string'), '1877': Value('string'), '1880': Value('string'), '1924': Value('string'), '1933': Value('string'), '1935': Value('string'), '1974': Value('string'), '1975': Value('string'), '1996': Value('string'), '2007': Value('string'), '2051': Value('string'), '2062': Value('string'), '2088': Value('string'), '2114': Value('string'), '2117': Value('string'), '2122': Value('string'), '2124': Value('string'), '2125': Value('string'), '2135': Value('string'), '2136': Value('string'), '2149': Value('string'), '2189': Value('string'), '2220': Value('string'), '2234': Value('string'), '2238': Value('string'), '2239': Value('string'), '2274': Value('string'), '2350': Value('string'), '2384': Value('string'), '2391': Value('string'), '2402': Value('string'), '2414': Value('string'), '2422': Value('string'), '2451': Value('string'), '2452': Value('string'), '2453': Value('string'), '2471': Value('string'), '2472': Value('string')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<21: string, 45: string, 56: string, 66: string, 67: string, 86: string, 111: string, 119: string, 159: string, 180: string, 182: string, 189: string, 205: string, 213: string, 245: string, 246: string, 272: string, 299: string, 328: string, 330: string, 333: string, 361: string, 376: string, 382: string, 385: string, 388: string, 390: string, 421: string, 423: string, 428: string, 447: string, 465: string, 470: string, 512: string, 517: string, 524: string, 560: string, 566: string, 586: string, 594: string, 595: string, 598: string, 606: string, 633: string, 638: string, 645: string, 659: string, 662: string, 682: string, 685: string, 702: string, 710: string, 728: string, 732: string, 734: string, 738: string, 749: string, 805: string, 818: string, 831: string, 878: string, 895: string, 898: string, 925: string, 927: string, 938: string, 943: string, 947: string, 951: string, 956: string, 971: string, 981: string, 1020: string, 1031: string, 1073: string, 1092: string, 1093: string, 1112: string, 1123: string, 1158: string, 1163: string, 1171: string, 1187: string, 1227: string, 1238: string, 1254: string, 1259: string, 1285: string, 1286: string, 1287: string, 1332: string, 1335: string, 1351: string, 1361: string, 1371: string, 1372: string, 1377: string, 1394: string, 1403: string, 1405: string, 1415: string, 1427: string, 1448: string, 1455: string, 1470: string, 1501: string, 1522: string, 1538: string, 1545: string, 1547: string, 1574: string, 1575: string, 1577: string, 1580: string, 1584: string, 1603: string, 1620: string, 1633: string, 1636: string, 1642: string, 1689: string, 1706: string, 1711: string, 1713: string, 1720: string, 1727: string, 1738: string, 1742: string, 1770: string, 1777: string, 1806: string, 1811: string, 1812: string, 1814: string, 1823: string, 1825: string, 1836: string, 1840: string, 1842: string, 1857: string, 1875: string, 1885: string, 1895: string, 1900: string, 1902: string, 1903: string, 1911: string, 1912: string, 1922: string, 1928: string, 1938: string, 1944: string, 1958: string, 1976: string, 1978: string, 1990: string, 1999: string, 2002: string, 2021: string, 2032: string>
to
{'7': Value('string'), '22': Value('string'), '28': Value('string'), '62': Value('string'), '63': Value('string'), '66': Value('string'), '74': Value('string'), '75': Value('string'), '84': Value('string'), '96': Value('string'), '97': Value('string'), '118': Value('string'), '123': Value('string'), '134': Value('string'), '148': Value('string'), '156': Value('string'), '157': Value('string'), '158': Value('string'), '159': Value('string'), '170': Value('string'), '171': Value('string'), '177': Value('string'), '194': Value('string'), '201': Value('string'), '204': Value('string'), '205': Value('string'), '207': Value('string'), '218': Value('string'), '219': Value('string'), '265': Value('string'), '269': Value('string'), '270': Value('string'), '271': Value('string'), '284': Value('string'), '285': Value('string'), '294': Value('string'), '306': Value('string'), '307': Value('string'), '334': Value('string'), '349': Value('string'), '360': Value('string'), '372': Value('string'), '373': Value('string'), '390': Value('string'), '404': Value('string'), '424': Value('string'), '425': Value('string'), '428': Value('string'), '429': Value('string'), '430': Value('string'), '431': Value('string'), '444': Value('string'), '445': Value('string'), '464': Value('string'), '465': Value('string'), '472': Value('string'), '473': Value('string'), '518': Value('string'), '519': Value('string'), '534': Value('string'), '535': Value('string'), '536': Value('string'), '537': Value('string'),
...
'1446': Value('string'), '1473': Value('string'), '1480': Value('string'), '1481': Value('string'), '1570': Value('string'), '1571': Value('string'), '1623': Value('string'), '1629': Value('string'), '1637': Value('string'), '1638': Value('string'), '1663': Value('string'), '1674': Value('string'), '1675': Value('string'), '1692': Value('string'), '1736': Value('string'), '1747': Value('string'), '1767': Value('string'), '1768': Value('string'), '1792': Value('string'), '1794': Value('string'), '1840': Value('string'), '1868': Value('string'), '1870': Value('string'), '1877': Value('string'), '1880': Value('string'), '1924': Value('string'), '1933': Value('string'), '1935': Value('string'), '1974': Value('string'), '1975': Value('string'), '1996': Value('string'), '2007': Value('string'), '2051': Value('string'), '2062': Value('string'), '2088': Value('string'), '2114': Value('string'), '2117': Value('string'), '2122': Value('string'), '2124': Value('string'), '2125': Value('string'), '2135': Value('string'), '2136': Value('string'), '2149': Value('string'), '2189': Value('string'), '2220': Value('string'), '2234': Value('string'), '2238': Value('string'), '2239': Value('string'), '2274': Value('string'), '2350': Value('string'), '2384': Value('string'), '2391': Value('string'), '2402': Value('string'), '2414': Value('string'), '2422': Value('string'), '2451': Value('string'), '2452': Value('string'), '2453': Value('string'), '2471': Value('string'), '2472': Value('string')}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.
Generative Embedding Benchmark
This repository publishes the fixed membership and provenance metadata for the Generative Embedding Benchmark (GEB). GEB contains 1,800 development questions and 900 held-out test questions spanning natural images, scene text, and visual documents.
GEB evaluates how much answer-relevant visual information a dense embedding makes accessible to a generative decoder. The GitHub repository is the main entry point for installation, training, and evaluation. Official Qwen3-VL-Embedding-2B/8B decoder weights are provided in the checkpoint repository.
This dataset repository does not redistribute source images, questions,
answers, or decoder training data. GEB task definitions load the eight original
public evaluation datasets through lmms-eval and filter them with dev.json
or test.json. The source datasets remain subject to their own licenses and
access requirements.
Files
dev.json,test.json: compact source-row membership used at runtime.manifests/dev/,manifests/test/: categories, provenance identifiers, image hashes, and image-group identifiers used for auditing.sources.json: pinned upstream dataset revisions.summary.json: sampling quotas and aggregate attrition statistics.leakage_audit.json: development/test image-leakage audit.
The Apache-2.0 license applies only to GEB-authored manifests and metadata. It does not alter the terms of the upstream datasets.
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