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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: The document is empty.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Trailing data
              
              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 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: The document is empty.

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This dataset is AI generated, the creator might have missed errors

This dataset contains 5110 lines of jsonl. It follows this format:

{"messages": [{"role" : "User", "content" : "..."}, {"role" : "Assistant", "content" : "..."}]

The dataset contains a variety of topics and a random number of turns per chat, with 14 turns as the maximum. It was generated with Gemma3:4b using ollama with a temperature of 0.8 on a RTX 3050 8GB.
in order to download the dataset, use the following code:

from datasets import load_dataset

dataset = load_dataset("person65/Gemma3_4b-Created-Chats")

if you want to view the dataset, check the raw version

List of all the topics:

Programming & Technology

  • Advanced Python
  • Python Data Structures
  • Python for Data Science
  • Python Web Development
  • Python Automation & Scripting
  • System Architecture
  • Distributed Systems
  • Cloud Computing
  • Microservices Architecture
  • Database Design & Optimization
  • Cybersecurity Fundamentals
  • DevOps & CI/CD
  • API Design & Integration

Writing & Creativity

  • Creative Writing
  • Storytelling Techniques
  • Poetry Writing
  • Screenwriting
  • Technical Writing
  • Copywriting
  • Writing for Social Media
  • Editing & Proofreading

Logic & Problem Solving

  • Logic Puzzles
  • Riddles & Brain Teasers
  • Critical Thinking Exercises
  • Algorithmic Problem Solving
  • Escape Room Challenges

Science & Knowledge

  • Science Trivia
  • Physics Fundamentals
  • Chemistry Basics
  • Biology & Life Sciences
  • Astronomy & Space Exploration
  • Environmental Science
  • Engineering Concepts

Mathematics

  • Math
  • Algebra
  • Geometry
  • Trigonometry
  • Calculus
  • Statistics & Probability
  • Number Theory
  • Applied Mathematics

General Help & Learning

  • Help
  • Study Skills
  • Time Management
  • Research Methods
  • Learning Strategies
  • Career Guidance

Food & Cooking

  • Cooking
  • Baking
  • Making healthy meals
  • Food photography
  • Deserts

Travel & Adventure

  • Travel
  • Road Trips
  • Weekend Getaways
  • Travel Planning

Conversations

  • Conversation
  • Casual Conversation
  • Informational Conversation
  • Emotional Conversation
  • Dialogue Conversation
  • Social Conversation

Translation

  • Translation
  • Spanish to english
  • English to Spanish
  • Chinese to English
  • English to Chinese

Summarization

  • Summarize an essay
  • Summarize

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