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
engine: string
counts: struct<ok: int64>
child 0, ok: int64
successful_request_latency_ms: struct<median: double, p95: double, mean: double>
child 0, median: double
child 1, p95: double
child 2, mean: double
benchmarks: list<item: struct<catalog_id: int64, dataset: string, requests: int64, answered: int64, unsupported: (... 6311 chars omitted)
child 0, item: struct<catalog_id: int64, dataset: string, requests: int64, answered: int64, unsupported: int64, err (... 6299 chars omitted)
child 0, catalog_id: int64
child 1, dataset: string
child 2, requests: int64
child 3, answered: int64
child 4, unsupported: int64
child 5, errors: int64
child 6, abstained: int64
child 7, pending: int64
child 8, scored_requests: int64
child 9, metric: string
child 10, score: double
child 11, reference_same_cases: null
child 12, median_ms: double
child 13, detail: struct<field_accuracy: double, case_exact_accuracy: double, custom_metrics: struct<ndcg_at_10: doubl (... 5305 chars omitted)
child 0, field_accuracy: double
child 1, case_exact_accuracy: double
child 2, custom_metrics: struct<ndcg_at_10: double, mrr: double, recall_at_10: double, candidate_recall: double, scorable_can (... 452 chars omitted)
child 0, ndcg_at_10: double
child 1, mrr: double
child 2, recall_at_10: double
child 3, candidate_recall: double
...
1, score: null
child 2, scored_requests: int64
child 3, iSarcasmEval-A-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 4, iSarcasmEval-B-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 5, iSarcasmEval-C-Ar: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 6, iSarcasmEval-C-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 7, GSM8K-10choice: struct<metric: string, score: double, scored_requests: int64>
child 0, metric: string
child 1, score: double
child 2, scored_requests: int64
child 8, GSM8K-4choice: struct<metric: string, score: double, scored_requests: int64>
child 0, metric: string
child 1, score: double
child 2, scored_requests: int64
note: string
edition: string
rows: int64
compact_projection: string
compact_uncompressed_sha256: string
original_results_sha256: string
to
{'rows': Value('int64'), 'compact_projection': Value('string'), 'original_results_sha256': Value('string'), 'compact_uncompressed_sha256': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 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
engine: string
counts: struct<ok: int64>
child 0, ok: int64
successful_request_latency_ms: struct<median: double, p95: double, mean: double>
child 0, median: double
child 1, p95: double
child 2, mean: double
benchmarks: list<item: struct<catalog_id: int64, dataset: string, requests: int64, answered: int64, unsupported: (... 6311 chars omitted)
child 0, item: struct<catalog_id: int64, dataset: string, requests: int64, answered: int64, unsupported: int64, err (... 6299 chars omitted)
child 0, catalog_id: int64
child 1, dataset: string
child 2, requests: int64
child 3, answered: int64
child 4, unsupported: int64
child 5, errors: int64
child 6, abstained: int64
child 7, pending: int64
child 8, scored_requests: int64
child 9, metric: string
child 10, score: double
child 11, reference_same_cases: null
child 12, median_ms: double
child 13, detail: struct<field_accuracy: double, case_exact_accuracy: double, custom_metrics: struct<ndcg_at_10: doubl (... 5305 chars omitted)
child 0, field_accuracy: double
child 1, case_exact_accuracy: double
child 2, custom_metrics: struct<ndcg_at_10: double, mrr: double, recall_at_10: double, candidate_recall: double, scorable_can (... 452 chars omitted)
child 0, ndcg_at_10: double
child 1, mrr: double
child 2, recall_at_10: double
child 3, candidate_recall: double
...
1, score: null
child 2, scored_requests: int64
child 3, iSarcasmEval-A-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 4, iSarcasmEval-B-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 5, iSarcasmEval-C-Ar: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 6, iSarcasmEval-C-En: struct<metric: string, score: null, scored_requests: int64>
child 0, metric: string
child 1, score: null
child 2, scored_requests: int64
child 7, GSM8K-10choice: struct<metric: string, score: double, scored_requests: int64>
child 0, metric: string
child 1, score: double
child 2, scored_requests: int64
child 8, GSM8K-4choice: struct<metric: string, score: double, scored_requests: int64>
child 0, metric: string
child 1, score: double
child 2, scored_requests: int64
note: string
edition: string
rows: int64
compact_projection: string
compact_uncompressed_sha256: string
original_results_sha256: string
to
{'rows': Value('int64'), 'compact_projection': Value('string'), 'original_results_sha256': Value('string'), 'compact_uncompressed_sha256': 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.
Xor 26B-A4B v1.1 public text-suite results
Model: https://huggingface.co/juspay/Xor-26B-A4B/tree/28ca09c7b76648b24d3561c940d1a7460d12fb8e
Self-run public Decision Index 0.3: 57.62, raw 67.88. Complete: 140620 successful requests, 140178 scored after 442 official exclusions, no errors. Six B300 TP1 replicas, four concurrent requests per replica, 24 total. These are not single-GPU sequential eligibility measurements.
Kit commit: 9eb2dbe2a358004c8782c66e40a83ac07b953fec. Final released multimodal wrapper and patched SGLang image; exact settings in environment.json and the model release.
results.jsonl.gz is a compact projection of the full original run: only payload and raw_output were removed, matching upstream compact mode. Answers, row identities, statuses and timings are unchanged. Original raw traces are retained privately. Official scorer re-evaluation of this compact projection reproduces 57.62.
scores.json, index.json, benchmark-summary.json and status.json are copied from the original run. environment.json removes three local suite paths only and records the original hash. PROVENANCE.json identifies both original and compact results hashes. Source benchmark inputs are not redistributed.
This is a text result, not a Vision Index or private Full score. Vision evaluation is requested separately from maintainers. No training-contamination-free claim is made; complete checkpoint blend provenance remains unresolved.
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