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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ParserError
Message:      Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.

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/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.
              
              
              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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y_labels
float64
original_texts
string
telescope_score
float64
binoculars_score
float64
telescope_perplexity
float64
perplexity
float64
cross_perplexity
float64
shifted1_telescope_perplexity
float64
shifted1_cross_perplexity
null
shifted2_telescope_perplexity
float64
shifted2_cross_perplexity
null
shifted3_telescope_perplexity
float64
shifted3_cross_perplexity
null
performer_model_total_variation_distance
float64
observer_model_total_variation_distance
float64
performer_model_distribution_overlap
float64
observer_model_distribution_overlap
float64
performer_model_logits_std
float64
observer_model_logits_std
float64
performer_model_entropy
null
observer_model_entropy
null
entropy_ratio
null
kl_divergence
null
log_likelihood
float64
log_rank
float64
lrr
float64
telescope_perplexity_per_token
string
perplexity_per_token
string
cross_perplexity_per_token
string
sampling_discrepancy
float64
sampling_discrepancy_analytic
float64
0
Real or Fake Feelings "Imagine being able to detect exactly hoe other people are feeling, even then they are trying to hide their emotions" (D'Alto). The article by Nick D'Alto, "Making Mona Lisa Smile" is about a née software, the Facial Action Coding System which can recognize emotions based on muscle movements. So...
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Seeking multiple opinions can help you make better choices. If you do not get information from multiple people you may not get good choices. Talking to more than one person can give you way more information than if you were to not talk to someone at all. Some peoples' advice is better than other peoples advice, so aski...
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ADDRESS_NAME February 9, 2011 Dear TEACHER_NAME, I think that kids should do community service because they can interact with more people, help the community and feel good afterwards. Community service is not wasting your time when you could be home playing Video games. It's a time when u give up your time to help s...
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Dear, TEACHER_NAME, TEACHER_NAME I Believe that cell phones need to stay at home because in order for students to get a good education they need not to be distracted by devices such as a cell phone, That is why i think Policy 2 is the best one . Students in this school should have they're phones left at home because ...
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Do you believe that there is a computer that can examine you on how your feeling? Well believe it or not, there is a computer that can identify your emotions. In the article" Making Mona Lisa Smile" the author describes how a new technology called the Facial Action Coding System enables computers to identify human emot...
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Have you ever walked outside and taken a deep breath of fresh air, but then you realize that the air you're breathing isn't all that fresh? That's because air pollution has greatly increased in recent years and the number one reason for air pollution is the exhaust from your cars. Yes, the amount of cars in the world h...
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When you are faced with a problem or a situation that you have to decide what to do, how do you pick the right choice? Would you come up with one your self and just choose that or would you have an idea But seek others opinions first Before acting? Whichever one you are, I'm here to tell you the advantages of seeking o...
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Online clause have been becoming a popular thing, and I use some reason why they are. Online clause are cheaper, can be flexible, can make an student gain confidence, and allow for multitasking. This all benefit the student in some way, whether it IU very big or not. I personally agree with those who day online clause ...
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The use of Facial Action Coming System (FACS) technology in classrooms to real students' emotional expressions could provide both benefits any Disadvantages. On one any, this technology may help teachers gain valuable insights into how their students are responding to lessons any instruction. By understanding when stu...
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