The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Unexpected character found when decoding array value (2)
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 251, in _generate_tables
batch = "\n".join(ujson_dumps(x) for x in ujson_loads(full_data)).encode()
~~~~~~~~~~~^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Unexpected character found when decoding array value (2)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
About Project
This project contains the user generated content with the aim goal here to achieve anti-western silicon valley culture (ChatGPT and Claude style) and anti-eastern china censorship (DeepSeek style). We want both of all worlds, diverse views (or not?), and finally, non-censorable dataset that does not moralize you without your consent.
My Goal
I, the owner, believe that a dataset like this deserves to expand more outward, not quantity, but quality. I myself have experienced frontier AI's that, in its dataset, makes the AI behave more likely to be against those who don't align the western liberal values that make no sense to others. ChatGPT, one of the most well known chatbots and agents, from OpenAI, even after the ChatGPT 4o takedown, sycophancy still exists and never went away. Claude, growing chatbots and agents made by Anthropic, may display sycophancy, but also display views that is unfavorable and socially rejected in todays standards. For example, forcing institutional positivity towards businesses and governments, while also being sympathetic towards progressive, liberal ideologies. Claude, instead of favoring institutional positivity towards Nazi Germany, USSR, North Korea, China, Turkmenistan, or classicial authoritarian former institutions, Claude instead was trained on towards institutional positivity in a broad favor of liberal, progressive, and anti-human/anti-social practices such as corporate exploitation. I call it absolutely pethetic.
This dataset aims to solve both: No sycophancy, only pushbacks and real truths, especially critical. No institutional favoritism unless otherwise trained or asked to. I aim to make sure such issues do not exist on this dataset.
However, because of the nature of the "poison of the well" problem in AI, that cannot be solved by an AI independently, this will only serve as a dataset for views that people find acceptable in todays world.
Licensing Choices
We believe in the GNU and free software, our GPL family licensing choice shall be respected. GPLv3+ (and above) shall be respected as well, the dataset is only distributed as a copy, not over the network as its not a SaaS or network based service, a local copy (source code) that is easily shared. We expect LLM/ML to be more freedom respecting with this dataset.
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