Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_readme: string
types: list<item: string>
  child 0, item: string
languages: list<item: string>
  child 0, item: string
rules: struct<reminder: string, comments: struct<marker: string, min_chars: int64, max_gap_chars: int64, ch (... 40 chars omitted)
  child 0, reminder: string
  child 1, comments: struct<marker: string, min_chars: int64, max_gap_chars: int64, checker_slack_chars: int64, text: str (... 4 chars omitted)
      child 0, marker: string
      child 1, min_chars: int64
      child 2, max_gap_chars: int64
      child 3, checker_slack_chars: int64
      child 4, text: string
functions: list<item: struct<name: string, signature: string, category: string, use_for: string, does: string>>
  child 0, item: struct<name: string, signature: string, category: string, use_for: string, does: string>
      child 0, name: string
      child 1, signature: string
      child 2, category: string
      child 3, use_for: string
      child 4, does: string
profiles: struct<C: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, sc (... 1177 chars omitted)
  child 0, C: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
      child 0, crash_rate_pct: int64
      child 1, memory_mb: int64
      child 2, bsod_tendency: string
      child 3, bsod_pct: int64
      child 4, scream_chance_pct: int64
      child 5, cpu_self_fertilization: string
      child 6, fertilization_note: string

...
4 chars omitted)
      child 0, crash_rate_pct: int64
      child 1, memory_mb: double
      child 2, bsod_tendency: string
      child 3, bsod_pct: int64
      child 4, scream_chance_pct: int64
      child 5, cpu_self_fertilization: string
      child 6, fertilization_note: string
  child 4, VBA: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
      child 0, crash_rate_pct: int64
      child 1, memory_mb: int64
      child 2, bsod_tendency: string
      child 3, bsod_pct: int64
      child 4, scream_chance_pct: int64
      child 5, cpu_self_fertilization: string
      child 6, fertilization_note: string
  child 5, COBOL: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
      child 0, crash_rate_pct: int64
      child 1, memory_mb: int64
      child 2, bsod_tendency: string
      child 3, bsod_pct: int64
      child 4, scream_chance_pct: int64
      child 5, cpu_self_fertilization: string
      child 6, fertilization_note: string
  child 6, Perl: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
      child 0, crash_rate_pct: int64
      child 1, memory_mb: int64
      child 2, bsod_tendency: string
      child 3, bsod_pct: int64
      child 4, scream_chance_pct: int64
      child 5, cpu_self_fertilization: string
      child 6, fertilization_note: string
to
{'_readme': Value('string'), 'profiles': {'C': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Python': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'C++': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Brainfuck': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('float64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'VBA': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'COBOL': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Perl': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              _readme: string
              types: list<item: string>
                child 0, item: string
              languages: list<item: string>
                child 0, item: string
              rules: struct<reminder: string, comments: struct<marker: string, min_chars: int64, max_gap_chars: int64, ch (... 40 chars omitted)
                child 0, reminder: string
                child 1, comments: struct<marker: string, min_chars: int64, max_gap_chars: int64, checker_slack_chars: int64, text: str (... 4 chars omitted)
                    child 0, marker: string
                    child 1, min_chars: int64
                    child 2, max_gap_chars: int64
                    child 3, checker_slack_chars: int64
                    child 4, text: string
              functions: list<item: struct<name: string, signature: string, category: string, use_for: string, does: string>>
                child 0, item: struct<name: string, signature: string, category: string, use_for: string, does: string>
                    child 0, name: string
                    child 1, signature: string
                    child 2, category: string
                    child 3, use_for: string
                    child 4, does: string
              profiles: struct<C: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, sc (... 1177 chars omitted)
                child 0, C: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
                    child 0, crash_rate_pct: int64
                    child 1, memory_mb: int64
                    child 2, bsod_tendency: string
                    child 3, bsod_pct: int64
                    child 4, scream_chance_pct: int64
                    child 5, cpu_self_fertilization: string
                    child 6, fertilization_note: string
              
              ...
              4 chars omitted)
                    child 0, crash_rate_pct: int64
                    child 1, memory_mb: double
                    child 2, bsod_tendency: string
                    child 3, bsod_pct: int64
                    child 4, scream_chance_pct: int64
                    child 5, cpu_self_fertilization: string
                    child 6, fertilization_note: string
                child 4, VBA: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
                    child 0, crash_rate_pct: int64
                    child 1, memory_mb: int64
                    child 2, bsod_tendency: string
                    child 3, bsod_pct: int64
                    child 4, scream_chance_pct: int64
                    child 5, cpu_self_fertilization: string
                    child 6, fertilization_note: string
                child 5, COBOL: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
                    child 0, crash_rate_pct: int64
                    child 1, memory_mb: int64
                    child 2, bsod_tendency: string
                    child 3, bsod_pct: int64
                    child 4, scream_chance_pct: int64
                    child 5, cpu_self_fertilization: string
                    child 6, fertilization_note: string
                child 6, Perl: struct<crash_rate_pct: int64, memory_mb: int64, bsod_tendency: string, bsod_pct: int64, scream_chanc (... 73 chars omitted)
                    child 0, crash_rate_pct: int64
                    child 1, memory_mb: int64
                    child 2, bsod_tendency: string
                    child 3, bsod_pct: int64
                    child 4, scream_chance_pct: int64
                    child 5, cpu_self_fertilization: string
                    child 6, fertilization_note: string
              to
              {'_readme': Value('string'), 'profiles': {'C': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Python': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'C++': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Brainfuck': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('float64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'VBA': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'COBOL': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}, 'Perl': {'crash_rate_pct': Value('int64'), 'memory_mb': Value('int64'), 'bsod_tendency': Value('string'), 'bsod_pct': Value('int64'), 'scream_chance_pct': Value('int64'), 'cpu_self_fertilization': Value('string'), 'fertilization_note': Value('string')}}}
              because column names don't match

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Satire Dataset

This is a satire dataset collection, with instruct topics. It is meant to be used in fine-tuning. I am going to use this eventually in my own model. More info will be added once the datasets are fully finished.

Folder Structure

Folder Purpose
data/ The foods and topics datasets used in the pipeline. It may be unused later on in order to make the dataset more consistent.
prompts/ Separate prompt files used for generating the recipes, terrible emails, and main instruct examples.
scripts/ Scripts that were used to generate the recipes and emails. It uses the Gemini API.
datasets/ Finished datasets for recipes, terrible emails, code examples, and more.
code-specifications/ The folder for the code specifications and documentation.

Datasets

The following is a table explaining each dataset and what it is used for:

File Name Purpose Example Count
Final General Topics.jsonl The final dataset for fake knowledge on ~10,000 topics, as well as high quality explainations. This originally had ~15,000 examples, but it was reduced because some of the examples did not meet my quality criteria. 10898
Fully Synthetic Dataset - not checked for quality.jsonl A fully synthetic dataset, generated by ChatGPT by telling it to repeatedly add more examples. 925
Poems Dataset.jsonl A dataset of terrible, nonsensical poems with explainations on what they mean. 570
Recipes.jsonl The recipes dataset, which has terrible recipes, which have random unnecessary ingredients.. 79
Satire Code Generation.jsonl The dataset for incorrect and satire code generation. See code-specifications/. 6849
Small General Examples Dataset.jsonl Small handwritten or supervised examples dataset. 201
Terrible Emails.jsonl A dataset of terrible, overly verbose buisiness emails. 155

Dataset Generation

Both the terrible emails and recipes dataset were generated by different Gemini models. It used a script (included in this repo) to generate it. Then, to clean the datasets afterwards, the scripts/Check Dataset.py file was used. It quarintines/moves examples with uncommon unicode characters to a different dataset file; this is to prevent including bad or broken examples. Meanwhile, the larger script for the high quality general satire dataset was not included because it is almost fully AI generated. It works very well, but the structure makes it hard to read and edit. However, if people want me to add the script and pipeline, I will.

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