Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
entry_type: string
display_name: string
total_score: double
recall: double
success_rate: double
avg_steps: double
step_score: double
submission_date: string
vs
team_name: string
team_id: int64
best_total_score: double
best_recall: double
best_success_rate: double
best_avg_steps: double
best_step_score: double
best_submit_time: string
best_record_id: int64
latest_total_score: double
latest_recall: double
latest_success_rate: double
latest_avg_steps: double
latest_step_score: double
latest_submit_time: string
latest_record_id: int64
latest_is_best: bool
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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: Schema at index 1 was different:
entry_type: string
display_name: string
total_score: double
recall: double
success_rate: double
avg_steps: double
step_score: double
submission_date: string
vs
team_name: string
team_id: int64
best_total_score: double
best_recall: double
best_success_rate: double
best_avg_steps: double
best_step_score: double
best_submit_time: string
best_record_id: int64
latest_total_score: double
latest_recall: double
latest_success_rate: double
latest_avg_steps: double
latest_step_score: double
latest_submit_time: string
latest_record_id: int64
latest_is_best: boolNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
BC-Plus A Leaderboard Results
This dataset stores public evaluation artifacts for XIR Competition 1170 BC-Plus A leaderboard.
leaderboard-public.csv: public A leaderboard, one best result per team plus baselines.leaderboard-best-latest.csv: each team's best result and latest submission result side by side.submission-results-history.csv: append-only submission history.baseline-results.csv: baseline rows.
Public files omit retriever repository identifiers. Internal evaluation files under /mnt/bn/search-tiktok-nas-au/yuqizhou/competition retain the private repo mapping for maintenance.
Scoring:
total_score = 0.4 * Recall + 0.4 * Success_Rate + 0.2 * (1 - Avg_Steps / 50) * 100
A榜 uses Qwen3.5-4B as the agent model with search and get_document tools, up to 20 tool steps. Step Score continues to use 50 as its normalization denominator.
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