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Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
official_id: string
official_name: string
experiment_type: string
source_columns: list<item: string>
child 0, item: string
source_count: int64
char_count: int64
token_count: int64
content: string
source_urls: list<item: string>
child 0, item: string
to
{'official_id': Value('string'), 'official_name': Value('string'), 'experiment_type': Value('string'), 'source_urls': List(Value('string')), 'source_count': Value('int64'), 'char_count': Value('int64'), 'token_count': Value('int64'), 'content': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
official_id: string
official_name: string
experiment_type: string
source_columns: list<item: string>
child 0, item: string
source_count: int64
char_count: int64
token_count: int64
content: string
source_urls: list<item: string>
child 0, item: string
to
{'official_id': Value('string'), 'official_name': Value('string'), 'experiment_type': Value('string'), 'source_urls': List(Value('string')), 'source_count': Value('int64'), 'char_count': Value('int64'), 'token_count': Value('int64'), 'content': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
official_id string | official_name string | experiment_type string | source_urls list | source_count int64 | char_count int64 | token_count int64 | content string |
|---|---|---|---|---|---|---|---|
Administrator_of_the_Environmental_Protection_Agency_Carol_Browner_1993 | Carol Browner | unique_related | ["http://www.nytimes.com/library/politics/whouse/articles/121792browner-profile.html","https://albri(...TRUNCATED) | 73 | 2,622,817 | 575,131 | "\n\n--- Document Source: http://www.nytimes.com/library/politics/whouse/articles/121792browner-prof(...TRUNCATED) |
Administrator_of_the_Environmental_Protection_Agency_Catherine_McCabe_2017 | Catherine McCabe | unique_related | ["https://19january2017snapshot.epa.gov/aboutepa/catherine-mccabe-deputy-regional-administrator-epas(...TRUNCATED) | 63 | 1,467,543 | 371,601 | "\n\n--- Document Source: https://19january2017snapshot.epa.gov/aboutepa/catherine-mccabe-deputy-reg(...TRUNCATED) |
Administrator_of_the_Environmental_Protection_Agency_Gina_McCarthy_2013 | Gina McCarthy | unique_related | ["http://www.allgov.com/officials/mccarthy-gina?officialid=29790","https://19january2017snapshot.epa(...TRUNCATED) | 75 | 2,044,168 | 450,528 | "\n\n--- Document Source: http://www.allgov.com/officials/mccarthy-gina?officialid=29790 ---\nAllGov(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_A¨ªda_lvarez_1997 | A¨ªda _lvarez | unique_related | ["http://calhum.org/files/uploads/other/A_State_of_Open_Mind_Magazine_Spring_2013_web.pdf","http://d(...TRUNCATED) | 112 | 5,481,609 | 1,364,945 | "\n\n--- Document Source: http://calhum.org/files/uploads/other/A_State_of_Open_Mind_Magazine_Spring(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_Jeanne_Hulit_2013 | Jeanne Hulit | unique_related | ["http://lldc.mainelegislature.org/Open/Elections/Returns/2008/20081104/elec_20081104c.pdf","https:/(...TRUNCATED) | 101 | 2,287,234 | 521,025 | "\n\n--- Document Source: http://lldc.mainelegislature.org/Open/Elections/Returns/2008/20081104/elec(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_Jovita_Carranza_2020 | Jovita Carranza | unique_related | ["http://media.corporate-ir.net/media_files/NYS/UPS/reports/ar2000/pdf/UPS2000ARFINAL.pdf","https://(...TRUNCATED) | 81 | 3,396,273 | 795,944 | "\n\n--- Document Source: http://media.corporate-ir.net/media_files/NYS/UPS/reports/ar2000/pdf/UPS20(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_Linda_McMahon_2017 | Linda McMahon | unique_related | ["http://www.allgov.com/departments/independent-agencies/small-business-administration?agencyid=7308(...TRUNCATED) | 99 | 2,830,711 | 630,315 | "\n\n--- Document Source: http://www.allgov.com/departments/independent-agencies/small-business-admi(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_Marianne_Markowitz_2014 | Marianne Markowitz | unique_related | ["http://apps.chicagotribune.com/ebooks/innovationAndTechnology.pdf?track=bluesky-newsletter-weekly"(...TRUNCATED) | 75 | 2,970,105 | 632,942 | "\n\n--- Document Source: http://apps.chicagotribune.com/ebooks/innovationAndTechnology.pdf?track=bl(...TRUNCATED) |
Administrator_of_the_Small_Business_Administration_Sandy_Baruah_2008 | Sandy Baruah | unique_related | ["http://www.allgov.com/departments/department-of-commerce/economic-development-administration?agenc(...TRUNCATED) | 78 | 2,121,893 | 486,827 | "\n\n--- Document Source: http://www.allgov.com/departments/department-of-commerce/economic-developm(...TRUNCATED) |
Ambassador_To_The_Us_Bozo_Cerar_2014 | Bozo Cerar | unique_related | ["http://countrylicious.com/slovenia","http://www.allgov.com/news/appointments-and-resignation/slove(...TRUNCATED) | 52 | 1,967,178 | 613,636 | "\n\n--- Document Source: http://countrylicious.com/slovenia ---\nSlovenia country facts\n\n========(...TRUNCATED) |
PolitNuggets
Replication artifacts for our paper on LLM-based extraction of political-elite
biographies. The companion source code for the deep-research API lives in a
separate GitHub repository (poli_searcher).
This dataset contains three data artifacts plus a descriptive figure:
1. Consolidated Ground Truth (cgt/cgt.csv)
The primary same-schema CGT table for all 398 entities. It is produced by the
main CGT synthesis pipeline, which deduplicates near-duplicate entries, prefers
more complete facts, and uses majority consensus when source variants conflict.
This file is intentionally narrower than the union-style
search_master_cgt_comprehensive_en.csv.
Columns: official_id, cgt_party_en, cgt_occupation_en,
cgt_education_en, cgt_relatives_en, plus generation status/model metadata.
2. Cached webpages (cached_webpages/)
Raw retrieved pages collected during our agentic runs. These fix the search snapshot used for every reported number and enable offline re-evaluation.
cached_webpages/raw_doc_store.sql- SQLite dump consumed bylangchain_community.storage.SQLStore(namespaceraw_documents_ns).cached_webpages/chunk_registry.json- URL-to-storage-key registry.cached_webpages/chroma.sqlite3,record_manager_cache.sql- Chroma metadata / LangChain indexing cache.
Open the store in Python::
from langchain_community.storage import SQLStore
store = SQLStore(
namespace="raw_documents_ns",
db_url="sqlite:///cached_webpages/raw_doc_store.sql",
)
bytes_ = store.mget(["<chunk-key>"])[0]
3. LRM evaluation package (lrm_eval/)
Curated static-context dataset for evaluating long-context biography extraction without interactive search, for controlled comparison of "Reasoning in Context" across models.
lrm_eval/archive_short/unique_related.jsonl- related-URL aggregated text.lrm_eval/archive_short/unique_retrieved.jsonl- retrieved-URL aggregated text.lrm_eval/archive_short/unique_wiki.jsonl- wiki/encyclopedia aggregated text.lrm_eval/long_context/lc_sup_plus.jsonl- supervisor + detailed markdown report built by our grok_v7 agent (text-only).lrm_eval/long_context/lc_retrieved.jsonl- retrieved-URL aggregated text for the long-context URL setting.
Each JSONL row has::
{
"official_id": ...,
"official_name": ...,
"experiment_type": ...,
"source_urls"|"source_columns": [...],
"source_count": ...,
"char_count": ...,
"token_count": ...,
"content": "..."
}
Descriptive figure: language share by country
The dataset card includes a country-level language-share figure comparing the non-English token share in retrieved long-context evidence with the non-English token share after the synthesized/refined long-context construction.
Companion code
- Deep-research API (
poli_searcher): .
Citation
{{ bibtex entry here }}
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