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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
_fingerprint: string
_format_columns: null
_format_kwargs: struct<>
_format_type: null
_output_all_columns: bool
_split: null
text: string
to
{'text': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
_data_files: list<item: struct<filename: string>>
child 0, item: struct<filename: string>
child 0, filename: string
_fingerprint: string
_format_columns: null
_format_kwargs: struct<>
_format_type: null
_output_all_columns: bool
_split: null
text: string
to
{'text': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
text string |
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<|im_start|>user
总结以下文章：
当地时间10月30日上午（2025），国家主席习近平在釜山同美国总统特朗普举行会晤。习近平指出，特朗普总统当选以来，我们3次通话，多次互致信函，保持密切联系，共同引领中美关系保持总体稳定。前几天，两国经贸团队在吉隆坡举行了新一轮磋商，就解决各自当前的主要关切达成基本共识，也为我们今天的会晤提供了必要条件。中美两国国情不同，难免有一些分歧，作为世界前两大经济体，时而也会有摩擦，这很正常。面对风浪和挑战，我和特朗普总统作为掌舵人，应当把握好方向、驾驭住大局，让中美关系这艘大船平稳前行。习近平强调，中国的发展振兴同特朗普总统要实现的“让美国再次伟大”是并行不悖的，中美两国完全可以相互成就、... |
. Many.
But perhaps the puzzle expects a specific game that is well-known for being the opposite mode to another well-known N64 game. For example, "Super Mario 64" is a single-player 3D platformer. Opposite mode would be "multiplayer", like "Mario Kart 64". Its publisher is Nintendo. So answer = Nintendo.
Alternative... |
VOEXW", "title": "Nintendo 64™ - Nintendo Switch Online", "content": "Compete in a Mario Kart™ 64 race with friends online, share your screen and bring someone along for your Star Fox™ 64 ride, and suspend your game at any point ...Read more", "score": 0.124457784, "raw_content": null}], "response_time": null, "request... |
2536$
Moderate: $s^2 = \frac{0.13096}{9} \approx 0.0146$
Severe: $s^2 = \frac{0.00204}{9} \approx 0.0002$
But for severe, 0.0002 is only 1 significant figure if written that way. 0.0002267 is better. Or $2.267 \times 10^{-4}$.
I will provide them to 4 or 5 significant figures:
- Minor: 0.2536
- Moderate: 0.0145... |
many drown. They synchronize their movements with zebras and gazelles, which helps in grazing efficiency (zebras eat tall, coarse grass, wildebeest prefer short new shoots). They also migrate in a circular route, taking advantage of seasonal variations.
4. Sensory: Excellent eyesight, hearing, and sense of smell to ... |
:** 90 minutes (or 2 × 45-minute sessions)
* **Driving Question:** *How can we redesign our community’s energy portfolio to be sustainable, reliable, and equitable?*
### **Standards Alignment**
* **NGSS:** HS-ESS3-4 (Evaluate or refine a technological solution that reduces impacts of human activities on natural sy... |
" filter characteristic:\n $H(j\\omega) = \\left(\\frac{R_2}{R_1+R_2}\\right) \\frac{j\\omega}{j\\om(...TRUNCATED) |
" basis\n - Evidence list (证据清单)\n - Court of jurisdiction, date, signature\n - **(...TRUNCATED) |
" or aquiring a passionate food. No rooftop bar in the city provides a 360 diploma watch of Bangkok (...TRUNCATED) |
", or you have numbness, tingling or weakness, sciatica is the most likely cause.\", \"score\": 0.24(...TRUNCATED) |
End of preview.
This dataset contains 512 data samples, each 8,192 tokens long, consisting of conversation data transformed by the Qwen3.6-27B chat template and pure text from text_all_tiny.
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