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
id: string
test: string
status: string
answers: struct<q01: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: (... 45136 chars omitted)
child 0, q01: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 1, q02: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 2, q03: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 3, q04: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
...
tring, value: list<item: string>, spans: list<item: list<item: int64>>, confidence: do (... 5 chars omitted)
child 0, type: string
child 1, value: list<item: string>
child 0, item: string
child 2, spans: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 3, confidence: double
child 377, companies: struct<type: string, value: list<item: string>, spans: list<item: list<item: int64>>, confidence: do (... 5 chars omitted)
child 0, type: string
child 1, value: list<item: string>
child 0, item: string
child 2, spans: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 3, confidence: double
wall_ms: double
engine: string
started_utc: string
usage: struct<state_tokens: int64, image_tokens: int64, schema_tokens: int64, input_tokens: int64, output_t (... 28 chars omitted)
child 0, state_tokens: int64
child 1, image_tokens: int64
child 2, schema_tokens: int64
child 3, input_tokens: int64
child 4, output_tokens: int64
child 5, passes: int64
python: string
env: struct<CLOUDFLARE_API_TOKEN: string, CLOUDFLARE_ACCOUNT_ID: string>
child 0, CLOUDFLARE_API_TOKEN: string
child 1, CLOUDFLARE_ACCOUNT_ID: string
suite_sha256: string
git: struct<commit: string, dirty: bool>
child 0, commit: string
child 1, dirty: bool
platform: string
kit_version: string
edition: string
options: struct<>
to
{'engine': {'name': Value('string'), 'spec': Value('string'), 'info': {'name': Value('string'), 'model': Value('string'), 'endpoint': Value('string'), 'limits': {'context_tokens': Value('int64'), 'pass_tokens': Value('int64')}, 'timeout': Value('float64')}}, 'options': {}, 'env': {'CLOUDFLARE_API_TOKEN': Value('string'), 'CLOUDFLARE_ACCOUNT_ID': Value('string')}, 'kit_version': Value('string'), 'edition': Value('string'), 'git': {'commit': Value('string'), 'dirty': Value('bool')}, 'suite_sha256': Value('string'), 'python': Value('string'), 'platform': Value('string'), 'started_utc': 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
test: string
status: string
answers: struct<q01: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: (... 45136 chars omitted)
child 0, q01: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 1, q02: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 2, q03: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
child 0, item: int64
child 3, guess: string
child 4, confidence: double
child 5, value: string
child 3, q04: struct<type: string, p_null: double, span: list<item: int64>, guess: string, confidence: double, val (... 11 chars omitted)
child 0, type: string
child 1, p_null: double
child 2, span: list<item: int64>
...
tring, value: list<item: string>, spans: list<item: list<item: int64>>, confidence: do (... 5 chars omitted)
child 0, type: string
child 1, value: list<item: string>
child 0, item: string
child 2, spans: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 3, confidence: double
child 377, companies: struct<type: string, value: list<item: string>, spans: list<item: list<item: int64>>, confidence: do (... 5 chars omitted)
child 0, type: string
child 1, value: list<item: string>
child 0, item: string
child 2, spans: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 3, confidence: double
wall_ms: double
engine: string
started_utc: string
usage: struct<state_tokens: int64, image_tokens: int64, schema_tokens: int64, input_tokens: int64, output_t (... 28 chars omitted)
child 0, state_tokens: int64
child 1, image_tokens: int64
child 2, schema_tokens: int64
child 3, input_tokens: int64
child 4, output_tokens: int64
child 5, passes: int64
python: string
env: struct<CLOUDFLARE_API_TOKEN: string, CLOUDFLARE_ACCOUNT_ID: string>
child 0, CLOUDFLARE_API_TOKEN: string
child 1, CLOUDFLARE_ACCOUNT_ID: string
suite_sha256: string
git: struct<commit: string, dirty: bool>
child 0, commit: string
child 1, dirty: bool
platform: string
kit_version: string
edition: string
options: struct<>
to
{'engine': {'name': Value('string'), 'spec': Value('string'), 'info': {'name': Value('string'), 'model': Value('string'), 'endpoint': Value('string'), 'limits': {'context_tokens': Value('int64'), 'pass_tokens': Value('int64')}, 'timeout': Value('float64')}}, 'options': {}, 'env': {'CLOUDFLARE_API_TOKEN': Value('string'), 'CLOUDFLARE_ACCOUNT_ID': Value('string')}, 'kit_version': Value('string'), 'edition': Value('string'), 'git': {'commit': Value('string'), 'dirty': Value('bool')}, 'suite_sha256': Value('string'), 'python': Value('string'), 'platform': Value('string'), 'started_utc': 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.
Extract Index 0.1 run: clairic
Results of one run of the SystemOne Extract Index
kit (0.1.0, commit 151f52a98b828b6424b49c308ca47e2d0c751b14).
- Suite manifest sha256:
6d2416a759238767c638178d7e0eb981441b4f3262e761630c274c9444fa4d13 - Complete: True
- Index: 69.49
| test | score | ok | unsupported | error | missing |
|---|---|---|---|---|---|
| squad2 | 92.15 | 300 | 0 | 0 | 0 |
| cuad | 30.28 | 250 | 0 | 0 | 0 |
| cord | 73.59 | 197 | 0 | 0 | 0 |
| docs | 94.23 | 400 | 0 | 0 | 0 |
| drop | 85.11 | 300 | 0 | 0 | 0 |
| tatqa | 70.90 | 250 | 0 | 0 | 0 |
| fewnerd | 40.20 | 300 | 0 | 0 | 0 |
Files: results.jsonl (one row per request), scores.json (from python -m extract_index score),
environment.json (engine, redacted options, versions).
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