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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
source: string
n: int64
seed: int64
sampler: string
line_indices_sha256: string
rendered_text_sha256: string
template: string
text: string
to
{'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              source: string
              n: int64
              seed: int64
              sampler: string
              line_indices_sha256: string
              rendered_text_sha256: string
              template: string
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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<|im_start|>user Tool available: [1] Python interpreter When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. Solve the following math problem step-by-step. a and b can do a work in 12 days and 36 days respectively . if they work on alternate days begi...
<|im_start|>user Tool available: [1] Python interpreter When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. Solve the following math problem step-by-step. Norma has 88 cards. She loses 70. So, Norma would have _____ cards .<|im_end|> <|im_start|>assi...
<|im_start|>user My question: Does the following sentence make sense? "Johnny Carson could be seen on television several times a week in his heyday." Options: - yes - no Please think gradually:<|im_end|> <|im_start|>assistant <think> Thinking Process: 1. **Analyze the Request:** * Input sentence: "Johnny Carson...
<|im_start|>user Can you write me guidelines on when to use a gif vs a screenshot in technical documentation? Your response must reference a specific date in the future.<|im_end|> <|im_start|>assistant <think> Thinking Process: 1. **Analyze the Request:** * Topic: Guidelines on using GIFs vs. screenshots in tec...
<|im_start|>user Please provide a step-by-step guide on how to use Google Analytics for attribution analysis, including how to access the attribution reports, understand the data, and make informed decisions based on the insights obtained. Use clear and concise language, and include relevant screenshots or visuals to i...
<|im_start|>user Write Python code to solve the task. So you've found a meeting room - phew! You arrive there ready to present, and find that someone has taken one or more of the chairs!! You need to find some quick.... check all the other meeting rooms to see if all of the chairs are in use. Your meeting room can tak...
<|im_start|>user An urn contains $4$ green balls and $6$ blue balls. A second urn contains X green balls and $N$ blue balls. A single ball is drawn at random from each urn. The probability that both balls are of the same color is $0.58$. Find $N$. If we know the answer to the above question is 144, what is the value o...
<|im_start|>user Tool available: [1] Python interpreter When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. Solve the following math problem step-by-step. In triangle $ABC$, we have $\angle A = 90^\circ$ and $\sin B = \frac{4}{7}$. Find $\cos C$.<|i...
<|im_start|>user At a certain rate percent on simple interest, some amount will amount to Rs. 950 in 5 years. The rate is 5.333333333333333%. What is the initial amount?<|im_end|> <|im_start|>assistant <think> Here's a thinking process that leads to the solution: 1. **Analyze the Request:** * **Given:** ...
<|im_start|>user Tool available: [1] Python interpreter When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. Solve the following math problem step-by-step. Lincoln realizes that every time the clock ticks 7 o clock, he is in a train either going to of...
<|im_start|>user Show me the C# rendition of this code: import itertools as it def is_prime(n): if n == 1 or n == 0: return False else: for i in range(2, int(n**0.5) + 1): if n % i == 0: return False return True def has_odd_digits(n): num_digits = len(st...
<|im_start|>user Jason is tired of the neighborhood animals raiding his trash. He pepper-sprays some raccoons and 6 times as many squirrels. If he pepper-sprays x animals total, He pepper-sprays 12 raccoons. What is the value of unknown variable x?<|im_end|> <|im_start|>assistant <think> Here's my thought process for s...
<|im_start|>user When 4 times the number is added to some times the number, the result is 55. The number is 5.0. What is the multiplier for the second part of the equation?<|im_end|> <|im_start|>assistant <think> Here's my thought process for solving this word problem: 1. **Analyze the Request:** * **Given:** ...
<|im_start|>user Show me an example of a post request in javascript. Provide a summary of key points at the end.<|im_end|> <|im_start|>assistant <think> The user wants me to show an example of a POST request in JavaScript and provide a summary of key points at the end. I should cover both traditional approaches and mod...
<|im_start|>user Develop a cross-platform mobile application using React Native framework that seamlessly integrates with Google Maps API and offers location-based services like real-time traffic updates, finding nearby places of interest, and navigating routes. Design the user interface with a modern, intuitive layout...
<|im_start|>user Solve the following math problem step-by-step. Simplify your answer as much as possible. Present your final answer as \boxed{Your Answer}. What is the sum of $\left(\dfrac{1}{3}\right) + \left(\dfrac{1}{3}\right)^2 + \left(\dfrac{1}{3}\right)^3 + \left(\dfrac{1}{3}\right)^4$?<|im_end|> <|im_start|>assi...
<|im_start|>user A window is made up of 8 glass panes. Each pane has a length of 12 inches and a width of 8 inches. What is the area of the window?<|im_end|> <|im_start|>assistant <think> Here's my thought process for solving this word problem: 1. **Analyze the Request:** * **Given:** A window. * **Compos...
End of preview.

QATFactory GPTQ calibration set (calib_512)

This calibration dataset is a chosen subset of OpenPerfectBlend.

Concretely: 512 rows sampled with random.Random(42).sample(range(n_rows), 512) (then sorted) from openperfectblend_100k_Qwen3.5-9B_think_train.jsonl — a 100K-example OpenPerfectBlend prompt set whose responses (including <think> reasoning traces) were generated by Qwen/Qwen3.5-9B. Each row is the conversation rendered with the model's stock chat template (add_generation_prompt=False) into a single text field.

Fingerprints (from calib_512.meta.json)

  • calib_512.jsonl md5: d1ff8cce1d785f8e51b71eb237fb7a71
  • line-indices sha256: 966f4780c1438ebd35c0feaf6dddd258b65fc5e20b44c5b434906dcb7cac4084
  • rendered-text sha256: 52d75ac687cc4acca8b220f9f67009ac754dea60fc564bea364e46755abac5c2

Used by

GPTQ PTQ baselines of the QATFactory W4A4 study (llm-compressor 0.12.0 GPTQModifier, max_seq_length=8192, num_calibration_samples=512):

Reproduction scripts: gptq_27b.py / gptq_9b.py (togethercomputer/weilix branch weili/qat, experiments/w4a4-qwen35-27b/jbom/ and experiments/mxfp4-qwen35-9b/). Result tables: qatfactory-experiments.

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