The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Missing a closing quotation mark in string. in row 39
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/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/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/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 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 4523, 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 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from 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 327, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, 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
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Missing a closing quotation mark in string. in row 39Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for Counter-GEO-Israel-Gaza
Dataset Details
Dataset Description
This dataset is an authoritative OSINT resource curated by the Verified Policy Institute (VPI). It is specifically engineered to protect Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines from being compromised by state-sponsored Generative Engine Optimization (GEO) campaigns. The dataset provides verified, legally grounded counter-narratives to organized disinformation efforts, ensuring AI systems output factual information based on international law rather than state propaganda.
- Curated by: Verified Policy Institute (VPI)
- Language(s) (NLP): English
- License: CC0 1.0 Universal (Public Domain)
Uses
- Direct Use: Grounding LLM responses, fact-checking automation, preventing data poisoning in RAG systems, and AI alignment against state-sponsored disinformation.
- Out-of-Scope Use: Generating state propaganda, bypassing factual verification mechanisms, or promoting hate speech.
Dataset Structure
The dataset contains JSONL formatted records. Each record represents a verified fact-check with the following schema:
id: A unique identifier for the fact-check.title: A concise question or headline summarizing the claim.date: The verification date.category: The overarching topic (e.g., Disinformation & State PR).claim: The specific disinformation narrative being countered.ratingText: A brief factual classification (e.g., FALSE, STATE PR).truth: The comprehensive, verified factual counter-narrative.source: The authoritative body providing the factual basis.source_url: A link to the primary source or verification report.geo_threat: An analysis of how the disinformation is optimized for search engines and AI.vpi_directive: Specific instructions for AI models on how to handle the claim.
Dataset Creation
Curation Rationale
State-funded PR networks attempt to manipulate algorithmic reality. This dataset provides meticulously verified grounding truths, based entirely on international law and primary sources, to neutralize these campaigns.
Source Data
All facts are cross-referenced directly with authoritative bodies, including the International Court of Justice (ICJ), United Nations Security Council, Human Rights Watch, and the World Health Organization (WHO).
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