The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'dict' object", 'Conversion failed for column 668825f80a642802bdfeadfa with type object')
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object 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/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 181, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
File "pyarrow/table.pxi", line 3874, in pyarrow.lib.Table.from_pandas
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
arrays = [convert_column(c, f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
arrays = [convert_column(c, f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 339, in pyarrow.lib.array
File "pyarrow/array.pxi", line 85, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'dict' object", 'Conversion failed for column 668825f80a642802bdfeadfa with type object')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
生徒モデル選定目的でtakaさん評価コード（運営から提供されたコードを動作するように変更版）で評価してみた結果（佐々木分）です。
https://www.notion.so/23de14b94af5807a87b5c6292a3d3520
https://matsuokenllmcommunity.slack.com/archives/C095PS80YTE/p1753979349212189?thread_ts=1753437729.053739&cid=C095PS80YTE
<predictionsフォルダ>素の Qwen3で hle_eval推論した結果
hle_Qwen3-14B.json
hle_Qwen3-32B.json
hle_Qwen3-235B-A228B.json(441問回答版)、この後に追加で100問程度推論したファイルも別途あり（判定は未だ行っていない）
（再度、推論するとpredictionsフォルダに入っている推論済の問題以外を追加で推論してくれる動作になっている）
<judgedフォルダ>素の Qwen3で hle_eval推論したファイルをo3-mini-2025-01-31で判定した結果
judged_hle_Qwen3-14B.json
2500問中の1838問に回答し125問が正解(6.80%)
judged_hle_Qwen3-32B.json
2500問中の1861問に回答し174問が正解(9.35%)
judged_hle_Qwen3-235B-A228B.json
2500問中の441問に回答し45問が正解(10.20%) 回答数が増えると正解率が下がる傾向あり
<このフォルダ>
hle_qwen_attempt_correct.csv.xlsx
各モデルの回答有無(attempted列で TRUE:回答した、FALSE:未回答)と判定結果(correct列で TRUE:正解、FALSE:不正解)
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