The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
concepts: list<item: string>
child 0, item: string
families: list<item: string>
child 0, item: string
layers: list<item: int64>
child 0, item: int64
scores_shape: string
axes: struct<0: string, 1: string, 2: string>
child 0, 0: string
child 1, 1: string
child 2, 2: string
det: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: st (... 2201 chars omitted)
child 0, 0: string
child 1, 1: string
child 2, 2: string
child 3, 3: string
child 4, 4: string
child 5, 5: string
child 6, 6: string
child 7, 7: string
child 8, 8: string
child 9, 9: string
child 10, 10: string
child 11, 11: string
child 12, 12: string
child 13, 13: string
child 14, 14: string
child 15, 15: string
child 16, 16: string
child 17, 17: string
child 18, 18: string
child 19, 19: string
child 20, 20: string
child 21, 21: string
child 22, 22: string
child 23, 23: string
child 24, 24: string
child 25, 25: string
child 26, 26: string
child 27, 27: string
child 28, 28: string
child 29, 29: string
child 30, 30: string
child 31, 31: string
child 32, 32: string
child 33, 33: string
child 34, 34: string
child 35, 35: string
child 36, 36: string
child 37, 37: string
child 38, 38: string
child 39, 39: string
child 40, 40: string
child 41, 41: string
child 42, 42: string
child 43, 43: string
child 44, 44: string
child 45, 45: string
child 46, 46: string
child 47, 47: string
...
126, 126: string
child 127, 127: string
child 128, 128: string
child 129, 129: string
child 130, 130: string
child 131, 131: string
child 132, 132: string
child 133, 133: string
child 134, 134: string
child 135, 135: string
child 136, 136: string
child 137, 137: string
child 138, 138: string
child 139, 139: string
child 140, 140: string
child 141, 141: string
child 142, 142: string
child 143, 143: string
child 144, 144: string
child 145, 145: string
child 146, 146: string
child 147, 147: string
child 148, 148: string
child 149, 149: string
child 150, 150: string
child 151, 151: string
child 152, 152: string
child 153, 153: string
child 154, 154: string
child 155, 155: string
child 156, 156: string
child 157, 157: string
child 158, 158: string
child 159, 159: string
child 160, 160: string
child 161, 161: string
child 162, 162: string
child 163, 163: string
child 164, 164: string
child 165, 165: string
child 166, 166: string
child 167, 167: string
child 168, 168: string
child 169, 169: string
child 170, 170: string
child 171, 171: string
child 172, 172: string
child 173, 173: string
child 174, 174: string
child 175, 175: string
child 176, 176: string
child 177, 177: string
child 178, 178: string
child 179, 179: string
child 180, 180: string
child 181, 181: string
child 182, 182: string
child 183, 183: string
child 184, 184: string
det_per_repo: int64
spec: string
to
{'det': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string'), '5': Value('string'), '6': Value('string'), '7': Value('string'), '8': Value('string'), '9': Value('string'), '10': Value('string'), '11': Value('string'), '12': Value('string'), '13': Value('string'), '14': Value('string'), '15': Value('string'), '16': Value('string'), '17': Value('string'), '18': Value('string'), '19': Value('string'), '20': Value('string'), '21': Value('string'), '22': Value('string'), '23': Value('string'), '24': Value('string'), '25': Value('string'), '26': Value('string'), '27': Value('string'), '28': Value('string'), '29': Value('string'), '30': Value('string'), '31': Value('string'), '32': Value('string'), '33': Value('string'), '34': Value('string'), '35': Value('string'), '36': Value('string'), '37': Value('string'), '38': Value('string'), '39': Value('string'), '40': Value('string'), '41': Value('string'), '42': Value('string'), '43': Value('string'), '44': Value('string'), '45': Value('string'), '46': Value('string'), '47': Value('string'), '48': Value('string'), '49': Value('string'), '50': Value('string'), '51': Value('string'), '52': Value('string'), '53': Value('string'), '54': Value('string'), '55': Value('string'), '56': Value('string'), '57': Value('string'), '58': Value('string'), '59': Value('string'), '60': Value('string'), '61': Value('string'), '62': Value('string'), '63': Value('string'), '64': Value('string'), '65':
...
), '125': Value('string'), '126': Value('string'), '127': Value('string'), '128': Value('string'), '129': Value('string'), '130': Value('string'), '131': Value('string'), '132': Value('string'), '133': Value('string'), '134': Value('string'), '135': Value('string'), '136': Value('string'), '137': Value('string'), '138': Value('string'), '139': Value('string'), '140': Value('string'), '141': Value('string'), '142': Value('string'), '143': Value('string'), '144': Value('string'), '145': Value('string'), '146': Value('string'), '147': Value('string'), '148': Value('string'), '149': Value('string'), '150': Value('string'), '151': Value('string'), '152': Value('string'), '153': Value('string'), '154': Value('string'), '155': Value('string'), '156': Value('string'), '157': Value('string'), '158': Value('string'), '159': Value('string'), '160': Value('string'), '161': Value('string'), '162': Value('string'), '163': Value('string'), '164': Value('string'), '165': Value('string'), '166': Value('string'), '167': Value('string'), '168': Value('string'), '169': Value('string'), '170': Value('string'), '171': Value('string'), '172': Value('string'), '173': Value('string'), '174': Value('string'), '175': Value('string'), '176': Value('string'), '177': Value('string'), '178': Value('string'), '179': Value('string'), '180': Value('string'), '181': Value('string'), '182': Value('string'), '183': Value('string'), '184': Value('string')}, 'det_per_repo': Value('int64'), 'spec': Value('string')}
because column names don't match
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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
concepts: list<item: string>
child 0, item: string
families: list<item: string>
child 0, item: string
layers: list<item: int64>
child 0, item: int64
scores_shape: string
axes: struct<0: string, 1: string, 2: string>
child 0, 0: string
child 1, 1: string
child 2, 2: string
det: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: st (... 2201 chars omitted)
child 0, 0: string
child 1, 1: string
child 2, 2: string
child 3, 3: string
child 4, 4: string
child 5, 5: string
child 6, 6: string
child 7, 7: string
child 8, 8: string
child 9, 9: string
child 10, 10: string
child 11, 11: string
child 12, 12: string
child 13, 13: string
child 14, 14: string
child 15, 15: string
child 16, 16: string
child 17, 17: string
child 18, 18: string
child 19, 19: string
child 20, 20: string
child 21, 21: string
child 22, 22: string
child 23, 23: string
child 24, 24: string
child 25, 25: string
child 26, 26: string
child 27, 27: string
child 28, 28: string
child 29, 29: string
child 30, 30: string
child 31, 31: string
child 32, 32: string
child 33, 33: string
child 34, 34: string
child 35, 35: string
child 36, 36: string
child 37, 37: string
child 38, 38: string
child 39, 39: string
child 40, 40: string
child 41, 41: string
child 42, 42: string
child 43, 43: string
child 44, 44: string
child 45, 45: string
child 46, 46: string
child 47, 47: string
...
126, 126: string
child 127, 127: string
child 128, 128: string
child 129, 129: string
child 130, 130: string
child 131, 131: string
child 132, 132: string
child 133, 133: string
child 134, 134: string
child 135, 135: string
child 136, 136: string
child 137, 137: string
child 138, 138: string
child 139, 139: string
child 140, 140: string
child 141, 141: string
child 142, 142: string
child 143, 143: string
child 144, 144: string
child 145, 145: string
child 146, 146: string
child 147, 147: string
child 148, 148: string
child 149, 149: string
child 150, 150: string
child 151, 151: string
child 152, 152: string
child 153, 153: string
child 154, 154: string
child 155, 155: string
child 156, 156: string
child 157, 157: string
child 158, 158: string
child 159, 159: string
child 160, 160: string
child 161, 161: string
child 162, 162: string
child 163, 163: string
child 164, 164: string
child 165, 165: string
child 166, 166: string
child 167, 167: string
child 168, 168: string
child 169, 169: string
child 170, 170: string
child 171, 171: string
child 172, 172: string
child 173, 173: string
child 174, 174: string
child 175, 175: string
child 176, 176: string
child 177, 177: string
child 178, 178: string
child 179, 179: string
child 180, 180: string
child 181, 181: string
child 182, 182: string
child 183, 183: string
child 184, 184: string
det_per_repo: int64
spec: string
to
{'det': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string'), '5': Value('string'), '6': Value('string'), '7': Value('string'), '8': Value('string'), '9': Value('string'), '10': Value('string'), '11': Value('string'), '12': Value('string'), '13': Value('string'), '14': Value('string'), '15': Value('string'), '16': Value('string'), '17': Value('string'), '18': Value('string'), '19': Value('string'), '20': Value('string'), '21': Value('string'), '22': Value('string'), '23': Value('string'), '24': Value('string'), '25': Value('string'), '26': Value('string'), '27': Value('string'), '28': Value('string'), '29': Value('string'), '30': Value('string'), '31': Value('string'), '32': Value('string'), '33': Value('string'), '34': Value('string'), '35': Value('string'), '36': Value('string'), '37': Value('string'), '38': Value('string'), '39': Value('string'), '40': Value('string'), '41': Value('string'), '42': Value('string'), '43': Value('string'), '44': Value('string'), '45': Value('string'), '46': Value('string'), '47': Value('string'), '48': Value('string'), '49': Value('string'), '50': Value('string'), '51': Value('string'), '52': Value('string'), '53': Value('string'), '54': Value('string'), '55': Value('string'), '56': Value('string'), '57': Value('string'), '58': Value('string'), '59': Value('string'), '60': Value('string'), '61': Value('string'), '62': Value('string'), '63': Value('string'), '64': Value('string'), '65':
...
), '125': Value('string'), '126': Value('string'), '127': Value('string'), '128': Value('string'), '129': Value('string'), '130': Value('string'), '131': Value('string'), '132': Value('string'), '133': Value('string'), '134': Value('string'), '135': Value('string'), '136': Value('string'), '137': Value('string'), '138': Value('string'), '139': Value('string'), '140': Value('string'), '141': Value('string'), '142': Value('string'), '143': Value('string'), '144': Value('string'), '145': Value('string'), '146': Value('string'), '147': Value('string'), '148': Value('string'), '149': Value('string'), '150': Value('string'), '151': Value('string'), '152': Value('string'), '153': Value('string'), '154': Value('string'), '155': Value('string'), '156': Value('string'), '157': Value('string'), '158': Value('string'), '159': Value('string'), '160': Value('string'), '161': Value('string'), '162': Value('string'), '163': Value('string'), '164': Value('string'), '165': Value('string'), '166': Value('string'), '167': Value('string'), '168': Value('string'), '169': Value('string'), '170': Value('string'), '171': Value('string'), '172': Value('string'), '173': Value('string'), '174': Value('string'), '175': Value('string'), '176': Value('string'), '177': Value('string'), '178': Value('string'), '179': Value('string'), '180': Value('string'), '181': Value('string'), '182': Value('string'), '183': Value('string'), '184': Value('string')}, 'det_per_repo': Value('int64'), 'spec': 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.
climbmix-scored-overflow-4
Concept-probe detection scores for ClimbMix-shuffle shards 100-124 (nanochat
training data), gemma-2-2b layers 6/8/14 co-located per token, FULL TOKEN
COVERAGE: every parquet row appears in docs_<sid>.jsonl, no min-length
filter, no truncation — docs longer than 2048 gemma tokens are scored in
consecutive non-overlapping 2048-token windows (window-boundary context
truncation is an accepted artifact), so sum(n) equals the shard's total
gemma token count. Probes and quantization/standardization are FROZEN from
corpus-scores (calibrated
once on shard 320 — never refit), so the two datasets are directly comparable
(note corpus-scores itself is first-2048-window only). Shard->repo map:
assignment.json (25 shards/repo, strictly in order across
8 repos). No DoM scores in this dataset family.
scores_<sid>.npyint8[n_tokens, 3, 54]— axis1: 0=L6, 1=L8, 2=L14; axis2 = concept percolumns.json. Dequant:score = int8*scale[l][c]+zero[l][c].tokens_<sid>.npyint32 — full BOS-free gemma ids, docs in parquet orderdocs_<sid>.jsonl{doc, start, n} — n = full doc token count (0 allowed)- Scoring: gemma-2-2b bf16 EAGER attention; probes from concept-probes-gemma2-2b gold_probes.
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