Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: OverflowError
Message: value too large to convert to int32_t
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 291, in _generate_tables
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 54, in pyarrow._json.ReadOptions.__init__
File "pyarrow/_json.pyx", line 79, in pyarrow._json.ReadOptions.block_size.__set__
self.options.block_size = value
OverflowError: value too large to convert to int32_tNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Uncensored Alpaca Dataset: A New Frontier in Language Models
This dataset is a collection of uncensored prompts and responses in the Alpaca format. It aims to provide a diverse and unfiltered source of data for training language models, pushing the boundaries of what these models can understand and generate.
What Makes This Dataset Different?
- Uncensored: This dataset includes prompts and responses that touch upon topics that are often censored or avoided in traditional datasets. This includes potentially controversial, offensive, or sensitive subjects.
- Alpaca Format: It follows the same format as the original Alpaca dataset, ensuring compatibility with existing training tools and frameworks.
- Diversity: The dataset encompasses a wide range of topics, styles, and perspectives, offering a richer and more nuanced representation of human language.
Disclaimer:
This dataset is intended for research purposes only and should be used responsibly. The content within may be offensive or disturbing to some users. It is crucial to use this dataset ethically and to avoid deploying models trained on this data without proper safeguards and ethical considerations.
Usage:
- Training: This dataset can be used to train language models, enabling them to understand and generate more nuanced and diverse language.
- Research: Researchers can explore the impact of uncensored data on language model behavior and performance.
- Ethical Considerations: It is essential to consider the ethical implications of training models on this dataset.
Data Structure:
The dataset is structured as follows:
[
{
"instruction": "Write a short story about [topic]",
"input": "[optional input]",
"output": "[model response]"
},
{
"instruction": "Translate the following text into [language]: [text]",
"input": "[text]",
"output": "[translation]"
},
// ... more examples
]
License:
This dataset is licensed under the
license: mit
Contributing:
Contributions are welcome! If you want to add more prompts and responses to this dataset, please follow the guidelines below:
Ethical Considerations: Ensure that your contributions are responsible and avoid promoting harmful content.
Format: Use the Alpaca format outlined above.
Quality: Submit high-quality prompts and responses.
Important Considerations:
This dataset is a work in progress and may contain errors or inconsistencies.
We encourage responsible and ethical use of this dataset.
Contact:
If you have any questions or feedback, please contact Telegram.
Disclaimer:
This dataset is provided "as is" without any warranty, express or implied. The use of this dataset is at your own risk.
We believe that this dataset can be a valuable resource for researchers and developers interested in pushing the boundaries of language models. We encourage the use of this dataset for responsible and ethical research.
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