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: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/runners/shard-00/[]) changed from number to string in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or valueNeed 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 1.2: Decision Index 0.2.1
A complete run of Xor 1.2 (juspay/xor, tag v1.2 @ a286a461) on the Decision Index 0.2.1 suite.
| Decision Index | Raw index | Breadth skill | Hardware |
|---|---|---|---|
| 52.24 | 63.80 | 51.00 | 4 x H200, two servers |
The run is complete ("complete": true, 150,317 of 150,317 scoreable requests). All 150,759 requests (including the 442 scoring exclusions) returned ok: no unsupported, error or abstained rows. Nothing was truncated and no options were removed.
Files (runs/xor-1.2/)
results.jsonl.gz: one row per request in the kit format. Each rowpayload(the suite state and questions) is left out so the suite is not republished; every row keeps itspayload_sha256. Re-scoring this file against the rebuilt 0.2.1 suite reproducesscores.json,index.jsonandbenchmark-summary.jsonexactly.scores.json,index.json,benchmark-summary.json,score.log: output ofdecision_index score --edition 0.2.1.harness/:make_shards.py,shards.json: the 0.2.1 run list (suite.row_pathsfiltered bysuite.in_edition) split into 16 shards bygroup_id.run_split4.sh: onedecision_index run --rows shard-NN.jsonl.gzprocess per shard; shards 00-07 on server A (GPUs 0,1), 08-15 on server B (GPUs 2,3).guard4.py,guard-baseline.json,watchdog-and-finish.log: a watchdog checked every ~30 s that only servers A and B existed, that they used only GPUs 0-3, and that no runner was restarted or retargeted. Every check passed; eachrunner.loghas exactly one start.shards/shard-NN/: each runnerenvironment.json,status.json,runner.log.servers/server-{a,b}/: each server.env, compose override (API image tag rename only) and releaserun.shlog (model checksums and smoke tests).final_score4.sh(merge and integrity check),strip_and_verify4.sh(payload removal and re-score check).
- Setup: kit
87d4650(edition 0.2.1), unmodifiedhttpengine and runner; suite verified strict (b2b56d6fselected rows,7429f3c9added rows). Server: the release serving bundle as shipped (run.sh, SGLang imageprakhar1611/xor-sglang@sha256:94c48d2a6cc98dc456cf93f723707ea7dd81dddfe1061e823b348d68bbe8158f), TP1 per replica, two replicas (DP2) per server. 4 x NVIDIA H200 (141 GB), 16 runner processes, about 38 minutes. - Latency (median 152.9 ms, p95 603.8 ms) was measured with 16 requests in flight, not single-client.
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