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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 |
Repositories
- GitHub: https://github.com/ajejfiejof/research-intelligence-reports
- Hugging Face Hub: https://huggingface.co/datasets/abr00kx/research-intelligence-reports
License
This dataset is dedicated to the public domain under the Creative Commons Zero v1.0 Universal (CC0 1.0) Public Domain Dedication. You are free to copy, modify, distribute, and perform research on the work, without asking permission.
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