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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 value

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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 row payload (the suite state and questions) is left out so the suite is not republished; every row keeps its payload_sha256. Re-scoring this file against the rebuilt 0.2.1 suite reproduces scores.json, index.json and benchmark-summary.json exactly.
  • scores.json, index.json, benchmark-summary.json, score.log: output of decision_index score --edition 0.2.1.
  • harness/:
    • make_shards.py, shards.json: the 0.2.1 run list (suite.row_paths filtered by suite.in_edition) split into 16 shards by group_id.
    • run_split4.sh: one decision_index run --rows shard-NN.jsonl.gz process 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; each runner.log has exactly one start.
    • shards/shard-NN/: each runner environment.json, status.json, runner.log.
    • servers/server-{a,b}/: each server .env, compose override (API image tag rename only) and release run.sh log (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), unmodified http engine and runner; suite verified strict (b2b56d6f selected rows, 7429f3c9 added rows). Server: the release serving bundle as shipped (run.sh, SGLang image prakhar1611/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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