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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'working', 'detail', 'user_status', 'category', 'tweet_status', 'base_url', 'root_status'}) and 10 missing columns ({'report_date', 'form', 'filing_date', 'doc_url', 'size_bytes', 'local_path', 'cik', 'sector', 'ticker', 'name'}).
This happened while the json dataset builder was generating data using
hf://datasets/abr00kx/research-intelligence-reports/data/nitter_probe_results.json (at revision 4eebcd10c7bbb81829c44bcacc8b990860a9c272), ['hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/manifest.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/nitter_probe_results.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/pl_metrics.json'], ['hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/manifest.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/nitter_probe_results.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/pl_metrics.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
base_url: string
category: string
root_status: int64
detail: string
working: bool
tweet_status: int64
user_status: int64
to
{'ticker': Value('string'), 'name': Value('string'), 'sector': Value('string'), 'cik': Value('string'), 'form': Value('string'), 'filing_date': Value('timestamp[s]'), 'report_date': Value('timestamp[s]'), 'doc_url': Value('string'), 'local_path': Value('string'), 'size_bytes': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 7 new columns ({'working', 'detail', 'user_status', 'category', 'tweet_status', 'base_url', 'root_status'}) and 10 missing columns ({'report_date', 'form', 'filing_date', 'doc_url', 'size_bytes', 'local_path', 'cik', 'sector', 'ticker', 'name'}).
This happened while the json dataset builder was generating data using
hf://datasets/abr00kx/research-intelligence-reports/data/nitter_probe_results.json (at revision 4eebcd10c7bbb81829c44bcacc8b990860a9c272), ['hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/manifest.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/nitter_probe_results.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/pl_metrics.json'], ['hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/manifest.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/nitter_probe_results.json', 'hf://datasets/abr00kx/research-intelligence-reports@4eebcd10c7bbb81829c44bcacc8b990860a9c272/data/pl_metrics.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
ticker string | name string | sector string | cik string | form string | filing_date timestamp[us] | report_date timestamp[us] | doc_url string | local_path string | size_bytes int64 |
|---|---|---|---|---|---|---|---|---|---|
AAPL | Apple Inc. | Consumer Electronics / Tech | 0000320193 | 10-K | 2025-10-31T00:00:00 | 2025-09-27T00:00:00 | https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm | /home/ashley/study/pl_documents/AAPL_10K_PL.htm | 1,520,324 |
MSFT | Microsoft Corporation | Software & Cloud | 0000789019 | 10-K | 2026-07-29T00:00:00 | 2026-06-30T00:00:00 | https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm | /home/ashley/study/pl_documents/MSFT_10K_PL.htm | 8,585,617 |
GOOGL | Alphabet Inc. | Digital Services / AdTech | 0001652044 | 10-K | 2026-02-05T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm | /home/ashley/study/pl_documents/GOOGL_10K_PL.htm | 2,616,615 |
AMZN | Amazon.com, Inc. | E-Commerce & Cloud Infrastructure | 0001018724 | 10-K | 2026-02-06T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/1018724/000101872426000004/amzn-20251231.htm | /home/ashley/study/pl_documents/AMZN_10K_PL.htm | 1,968,458 |
META | Meta Platforms, Inc. | Social Media & Tech | 0001326801 | 10-K | 2026-01-29T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/1326801/000162828026003942/meta-20251231.htm | /home/ashley/study/pl_documents/META_10K_PL.htm | 2,371,866 |
NVDA | NVIDIA Corporation | Semiconductors & AI Compute | 0001045810 | 10-K | 2026-02-25T00:00:00 | 2026-01-25T00:00:00 | https://www.sec.gov/Archives/edgar/data/1045810/000104581026000021/nvda-20260125.htm | /home/ashley/study/pl_documents/NVDA_10K_PL.htm | 1,967,932 |
TSLA | Tesla, Inc. | Automotive & Clean Energy | 0001318605 | 10-K | 2026-01-29T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/1318605/000162828026003952/tsla-20251231.htm | /home/ashley/study/pl_documents/TSLA_10K_PL.htm | 2,391,645 |
WMT | Walmart Inc. | Retail / Hypermarkets | 0000104169 | 10-K | 2026-03-13T00:00:00 | 2026-01-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/104169/000010416926000055/wmt-20260131.htm | /home/ashley/study/pl_documents/WMT_10K_PL.htm | 2,324,097 |
TGT | Target Corporation | Retail / Department Stores | 0000027419 | 10-K | 2026-03-11T00:00:00 | 2026-01-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/27419/000002741926000016/tgt-20260131.htm | /home/ashley/study/pl_documents/TGT_10K_PL.htm | 2,059,410 |
KO | The Coca-Cola Company | Consumer Staples / Beverages | 0000021344 | 10-K | 2026-02-20T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/21344/000162828026010047/ko-20251231.htm | /home/ashley/study/pl_documents/KO_10K_PL.htm | 3,758,256 |
PEP | PepsiCo, Inc. | Consumer Staples / Food & Beverage | 0000077476 | 10-K | 2026-02-03T00:00:00 | 2025-12-27T00:00:00 | https://www.sec.gov/Archives/edgar/data/77476/000007747626000007/pep-20251227.htm | /home/ashley/study/pl_documents/PEP_10K_PL.htm | 3,681,602 |
MCD | McDonald's Corporation | Consumer Discretionary / Restaurants | 0000063908 | 10-K | 2026-02-24T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/63908/000006390826000035/mcd-20251231.htm | /home/ashley/study/pl_documents/MCD_10K_PL.htm | 2,182,381 |
XOM | Exxon Mobil Corporation | Energy / Integrated Oil & Gas | 0000034088 | 10-K | 2026-02-18T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/34088/000003408826000045/xom-20251231.htm | /home/ashley/study/pl_documents/XOM_10K_PL.htm | 5,591,184 |
CVX | Chevron Corporation | Energy / Integrated Oil & Gas | 0000093410 | 10-K | 2026-02-24T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/93410/000009341026000078/cvx-20251231.htm | /home/ashley/study/pl_documents/CVX_10K_PL.htm | 6,061,432 |
JNJ | Johnson & Johnson | Healthcare / Pharmaceuticals & MedTech | 0000200406 | 10-K | 2026-02-11T00:00:00 | 2025-12-28T00:00:00 | https://www.sec.gov/Archives/edgar/data/200406/000020040626000016/jnj-20251228.htm | /home/ashley/study/pl_documents/JNJ_10K_PL.htm | 3,701,703 |
PFE | Pfizer Inc. | Healthcare / Biopharmaceuticals | 0000078003 | 10-K | 2026-02-26T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/78003/000007800326000026/pfe-20251231.htm | /home/ashley/study/pl_documents/PFE_10K_PL.htm | 5,222,440 |
JPM | JPMorgan Chase & Co. | Financial Services / Investment Banking | 0000019617 | 10-K | 2026-02-13T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/19617/000162828026008131/jpm-20251231.htm | /home/ashley/study/pl_documents/JPM_10K_PL.htm | 12,927,441 |
BAC | Bank of America Corp | Financial Services / Commercial Banking | 0000070858 | 10-K | 2026-02-25T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/70858/000007085826000157/bac-20251231.htm | /home/ashley/study/pl_documents/BAC_10K_PL.htm | 12,819,176 |
V | Visa Inc. | Financial Services / Payment Processing | 0001403161 | 10-K | 2025-11-06T00:00:00 | 2025-09-30T00:00:00 | https://www.sec.gov/Archives/edgar/data/1403161/000140316125000089/v-20250930.htm | /home/ashley/study/pl_documents/V_10K_PL.htm | 2,909,577 |
DIS | The Walt Disney Company | Entertainment & Mass Media | 0001744489 | 10-K | 2025-11-13T00:00:00 | 2025-09-27T00:00:00 | https://www.sec.gov/Archives/edgar/data/1744489/000174448925000155/dis-20250927.htm | /home/ashley/study/pl_documents/DIS_10K_PL.htm | 4,202,969 |
NFLX | Netflix, Inc. | Entertainment / Streaming Media | 0001065280 | 10-K | 2026-01-23T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/1065280/000106528026000034/nflx-20251231.htm | /home/ashley/study/pl_documents/NFLX_10K_PL.htm | 2,137,855 |
BA | The Boeing Company | Aerospace & Defense | 0000012927 | 10-K | 2026-01-30T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/12927/000162828026004357/ba-20251231.htm | /home/ashley/study/pl_documents/BA_10K_PL.htm | 3,439,590 |
LMT | Lockheed Martin Corporation | Aerospace & Defense | 0000936468 | 10-K | 2026-01-29T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/936468/000162828026004195/lmt-20251231.htm | /home/ashley/study/pl_documents/LMT_10K_PL.htm | 2,909,295 |
CAT | Caterpillar Inc. | Industrials / Heavy Machinery | 0000018230 | 10-K | 2026-02-13T00:00:00 | 2025-12-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/18230/000001823026000008/cat-20251231.htm | /home/ashley/study/pl_documents/CAT_10K_PL.htm | 6,100,585 |
NKE | Nike, Inc. | Consumer Discretionary / Footwear & Apparel | 0000320187 | 10-K | 2026-07-15T00:00:00 | 2026-05-31T00:00:00 | https://www.sec.gov/Archives/edgar/data/320187/000032018726000088/nke-20260531.htm | /home/ashley/study/pl_documents/NKE_10K_PL.htm | 2,824,476 |
AMD | Advanced Micro Devices, Inc. | Semiconductors | 0000002488 | 10-K | 2026-02-04T00:00:00 | 2025-12-27T00:00:00 | https://www.sec.gov/Archives/edgar/data/2488/000000248826000018/amd-20251227.htm | /home/ashley/study/pl_documents/AMD_10K_PL.htm | 2,174,708 |
INTC | Intel Corporation | Semiconductors | 0000050863 | 10-K | 2026-01-23T00:00:00 | 2025-12-27T00:00:00 | https://www.sec.gov/Archives/edgar/data/50863/000005086326000011/intc-20251227.htm | /home/ashley/study/pl_documents/INTC_10K_PL.htm | 3,320,836 |
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End of preview.
Research Intelligence Reports
A multi-domain research and empirical intelligence repository compiling:
- Corporate Financial Analysis: Primary P&L documents, standardized GAAP income statement extractions, and SEC EDGAR filings for 27 diverse global corporations across major sectors.
- Decentralized Network OSINT: Full-spectrum census, reachability, and anti-bot barrier audit of the global Nitter alternative Twitter/X frontend ecosystem following late-2026 legal enforcement actions.
Included Reports & Data
| Document / Dataset | Description | File Path |
|---|---|---|
| 27 Corporate P&L Report | In-depth financial metrics, filing accession IDs, SEC URLs, and GAAP figures | corporate_pl_analysis_27.md |
| Nitter Instance Census | Empirical audit of 123 candidate instances, surviving nodes, and DogWAF/Anubis mitigations | nitter_instance_census_report.md |
| P&L Metrics Dataset | Machine-readable JSON containing Revenues, Gross Profit, Op Income, and Net Income | data/pl_metrics.json |
| SEC Filing Manifest | Accession numbers, report dates, and direct 10-K document URLs | data/manifest.json |
| Nitter Probe Results | Raw network probe logs across all 123 checked endpoints | data/nitter_probe_results.json |
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