Datasets:

ravikiranoffl
/

HEDA

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
5a20de75daba7cb347dd612ecf9ff6e7: string
344d9fe1e27748bf47b5292599df2774: string
d0f97dd0413cc3dc3e16892e547073be: string
7badef256d4cbc1a3e404e8934735131: string
44dd369bafd00106c721b71ad506ae76: string
cbccfe7364e5c0823c1062cab452f945: string
f645c70ec132e511da4dcfcbe908c81f: string
9bf77fe586c8a135552aa2a5cc9144f1: string
ffe95bca76eb2f66648ef9238d7ca3a4: string
210edad50f9be6185b70996357ead7f8: string
e64209622f6f70c39d576e436f2bdbba: string
c3fcc33ce34c948e8c8346fd58c8715a: string
8969e9c96f5f15948d4c5df79763bf61: string
26da91e2dd45896436d526aa0f275170: string
c4cea9fbae7d73bc87899bfd3bc5ae20: string
2d432f0018a143b42f97e3f610c2f7c4: string
112b833f178c073415e589aecbb3662c: string
4a99c42d9b3924688055db49a4baa0d2: string
3e737feabbb01a49d456019b45bde79f: string
bb3fd625cb9c03d2430556bec842de91: string
4ad32e957fe5816c10d1a0e93438c04b: string
ba6add1e711dd1e7103e7137cad6e2fb: string
3fb0a55d35c1b68372dbb8fe5a42cd71: string
741b7b60e86f4d26d304b6d599964b28: string
04c9efa5cbd5280299339d8e09834cd6: string
5f012cdf08b0658579e34c3dbf0d5e7b: string
772674053d886a00d4a0cb5a79b80142: string
8924e559dfcd539812d4ebcdb898fcf3: string
cb2da357ac704ce0e213eebac8103349: string
7917cf38f9952395fa713e21f0a5df02: string
c057d1c0bdf42bf88281bd4e932aead9: string
dec2d56ffb7a8362e691529b428f82b7: string
88c92602f0ef199d044df02da75d1921: string
9c4fed0ef8c3af0819df68a1385ef30b: string
d842c400f8dd18ba8220a8e1e9ebcad3: string
9fe081bdc28be34a9131a2efdec9e35c: string
3d57612b2bdcd5ea33fa9caa
...
8e6bb9d47de64b06: string
6e3d8e054156db98140168c49decbe9a: string
d464165b4ec5dc01ceb538f88a2261c8: string
d5da0cfbb35f599d9c86930d386f281f: string
581e9d00d02986429e1b031b274e8459: string
1f3257af9d7b5179b6c0ed9bd2f5e452: string
7d464daba6a004f1ae929b51c35a5f80: string
7629f0148314466a9e32305e1b4d1050: string
e66f3376d76f6b07e5b9049685519cc7: string
658a60aba871517e4d25e7c328817c38: string
dd572ec58c8650f3cc53c7cf7fd23b7c: string
31aec4f415a7e7830632823855b307d0: string
9c5c4204f68d8419a57758b5acfb03b3: string
e301e7440c20999d0a76ec6f6949e84e: string
b791fac668b0f34dfb8e3308ea326b03: string
984051bcdce2461a28c6531a938223d1: string
4f2db48f4b9f5602feb2262b98028556: string
77b0678b5054b9cf054b74b10b1ca723: string
ced9fcbe6aa99e6d27df64ef046ee05e: string
26dd74954ed0aabcdb33639808a83db7: string
488f7d0f334165f95124f16a2445ee66: string
8cfcd5e737af7f02afa3c9f1e7936bfa: string
b02d350d30457a8a50470cfe16b190e3: string
d83b61d6a760fdb9183bb91352484042: string
fb31310f2b3fe1f0b4c66dd8e0c803e0: string
37f33a098fd1152c04a01bbedadd17c6: string
7266928ad44478f04a8f27b49ac6512d: string
21bf36661b51baa1f191bec18479131d: string
cf7076a746b66ff8fd620739d57e2891: string
4ae4cd1d14d5adce9bb11cb0761dad93: string
7f389760e9c61f9361806c144eacbc53: string
f26ee7ed75c2b63fd80298fcafa3efb6: string
9c6553a5f8c628bb98a385c3d3cfdc09: string
0813f7c60aadf0c5c7159a8f868a9bbe: string
4118ac7090a584d14834def2299bcc94: string
32fda0d0c27f064ebaac81e7cff5f30e: string
0c0c40e00a5860dd634af0960253204e: string
to
{'4ff884c21277cceab7ee6418bc73936d': Value('string'), '8cfcd5e737af7f02afa3c9f1e7936bfa': Value('string'), '37f33a098fd1152c04a01bbedadd17c6': Value('string'), '7629f0148314466a9e32305e1b4d1050': Value('string'), 'd464165b4ec5dc01ceb538f88a2261c8': Value('string'), '55a89c7d6b856ec0271151896bffe205': Value('string'), '3e0f482ee729a8b45eed2ea0d19ff892': Value('string'), '8bb21d8c10b8e5c39888e2e3a751078b': Value('string'), '055242138fd6c558c8f87c36dc1f0cb2': Value('string'), 'd3ceed04181ec73c17b37eb3851e7db9': Value('string'), '027556b2cd59ac47d7863966678cdf9e': Value('string'), '4f2db48f4b9f5602feb2262b98028556': Value('string'), '34dab78f3d202f54a0f3ce15f622e38f': Value('string'), 'bfa83fc72d42cd88cb00754726531baf': Value('string'), '4ddf16a213fccbd93450b7c7b9505e56': Value('string'), '44dd369bafd00106c721b71ad506ae76': Value('string'), 'c94fd76bb5c3a122ffd24f3136da6cda': Value('string'), '0cc4abbd72b39e3fe2ad93e60f2c9a83': Value('string'), 'c3d196a8c2a51b5e2f39fdb29229c36a': Value('string'), 'e66f3376d76f6b07e5b9049685519cc7': Value('string'), 'e775da0f47adb64f7dc4ba69158519ea': Value('string'), '90633605681c539f37e57316cf8dcfed': Value('string'), '9c5c4204f68d8419a57758b5acfb03b3': Value('string'), 'd1958e02340f42989424ae1df5c47d24': Value('string'), 'd8874366da2ed9e0e3eabd39130281e6': Value('string'), '4d452aff7761a938980b2b52c78f6517': Value('string'), 'a064284b7126857e59f4f00096fec30c': Value('string'), 'e301e7440c20999d0a76ec6f6949e84e': Value('string'), 'ced9fcbe6aa99e
...
Value('string'), '91cdd5454b01ae46ec30b625f0372965': Value('string'), '0813f7c60aadf0c5c7159a8f868a9bbe': Value('string'), '26e1bc1929995af40eea5bb7347e9574': Value('string'), '4147c336112a6fb20eac05d8edef81f5': Value('string'), 'fb31310f2b3fe1f0b4c66dd8e0c803e0': Value('string'), '339d6db39bb201c9fbac43f2a88c25e4': Value('string'), '658a60aba871517e4d25e7c328817c38': Value('string'), '1f3257af9d7b5179b6c0ed9bd2f5e452': Value('string'), 'b02d350d30457a8a50470cfe16b190e3': Value('string'), '7d464daba6a004f1ae929b51c35a5f80': Value('string'), 'af6b80bb14e7b1fe677b45eed2b92485': Value('string'), '32fda0d0c27f064ebaac81e7cff5f30e': Value('string'), '0b40c40940b4d95581e177efd7de4421': Value('string'), '6938100f49abe0aaaf358655948cc52a': Value('string'), 'dec111ca115371fabbbfcdf5b15a2e03': Value('string'), 'ff56259ef6f2790d3c9166335aedef16': Value('string'), '39a90acf9dda678d247f17e27b112be8': Value('string'), 'dd572ec58c8650f3cc53c7cf7fd23b7c': Value('string'), '77b0678b5054b9cf054b74b10b1ca723': Value('string'), '6e8334d3e7cddfc7acfba9b2020b55e1': Value('string'), '4118ac7090a584d14834def2299bcc94': Value('string'), '6e3d8e054156db98140168c49decbe9a': Value('string'), 'f26ee7ed75c2b63fd80298fcafa3efb6': Value('string'), '581e9d00d02986429e1b031b274e8459': Value('string'), 'e369a110e526d3099ceedd415991c96d': Value('string'), 'a794a912d79db354c6208b5b3e8a8fa2': Value('string'), '37652069ff0289fbb60396a41eb5e0ae': Value('string'), '208d9b28dc8bb8ec7dd2c29b6f41dfaa': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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
              5a20de75daba7cb347dd612ecf9ff6e7: string
              344d9fe1e27748bf47b5292599df2774: string
              d0f97dd0413cc3dc3e16892e547073be: string
              7badef256d4cbc1a3e404e8934735131: string
              44dd369bafd00106c721b71ad506ae76: string
              cbccfe7364e5c0823c1062cab452f945: string
              f645c70ec132e511da4dcfcbe908c81f: string
              9bf77fe586c8a135552aa2a5cc9144f1: string
              ffe95bca76eb2f66648ef9238d7ca3a4: string
              210edad50f9be6185b70996357ead7f8: string
              e64209622f6f70c39d576e436f2bdbba: string
              c3fcc33ce34c948e8c8346fd58c8715a: string
              8969e9c96f5f15948d4c5df79763bf61: string
              26da91e2dd45896436d526aa0f275170: string
              c4cea9fbae7d73bc87899bfd3bc5ae20: string
              2d432f0018a143b42f97e3f610c2f7c4: string
              112b833f178c073415e589aecbb3662c: string
              4a99c42d9b3924688055db49a4baa0d2: string
              3e737feabbb01a49d456019b45bde79f: string
              bb3fd625cb9c03d2430556bec842de91: string
              4ad32e957fe5816c10d1a0e93438c04b: string
              ba6add1e711dd1e7103e7137cad6e2fb: string
              3fb0a55d35c1b68372dbb8fe5a42cd71: string
              741b7b60e86f4d26d304b6d599964b28: string
              04c9efa5cbd5280299339d8e09834cd6: string
              5f012cdf08b0658579e34c3dbf0d5e7b: string
              772674053d886a00d4a0cb5a79b80142: string
              8924e559dfcd539812d4ebcdb898fcf3: string
              cb2da357ac704ce0e213eebac8103349: string
              7917cf38f9952395fa713e21f0a5df02: string
              c057d1c0bdf42bf88281bd4e932aead9: string
              dec2d56ffb7a8362e691529b428f82b7: string
              88c92602f0ef199d044df02da75d1921: string
              9c4fed0ef8c3af0819df68a1385ef30b: string
              d842c400f8dd18ba8220a8e1e9ebcad3: string
              9fe081bdc28be34a9131a2efdec9e35c: string
              3d57612b2bdcd5ea33fa9caa
              ...
              8e6bb9d47de64b06: string
              6e3d8e054156db98140168c49decbe9a: string
              d464165b4ec5dc01ceb538f88a2261c8: string
              d5da0cfbb35f599d9c86930d386f281f: string
              581e9d00d02986429e1b031b274e8459: string
              1f3257af9d7b5179b6c0ed9bd2f5e452: string
              7d464daba6a004f1ae929b51c35a5f80: string
              7629f0148314466a9e32305e1b4d1050: string
              e66f3376d76f6b07e5b9049685519cc7: string
              658a60aba871517e4d25e7c328817c38: string
              dd572ec58c8650f3cc53c7cf7fd23b7c: string
              31aec4f415a7e7830632823855b307d0: string
              9c5c4204f68d8419a57758b5acfb03b3: string
              e301e7440c20999d0a76ec6f6949e84e: string
              b791fac668b0f34dfb8e3308ea326b03: string
              984051bcdce2461a28c6531a938223d1: string
              4f2db48f4b9f5602feb2262b98028556: string
              77b0678b5054b9cf054b74b10b1ca723: string
              ced9fcbe6aa99e6d27df64ef046ee05e: string
              26dd74954ed0aabcdb33639808a83db7: string
              488f7d0f334165f95124f16a2445ee66: string
              8cfcd5e737af7f02afa3c9f1e7936bfa: string
              b02d350d30457a8a50470cfe16b190e3: string
              d83b61d6a760fdb9183bb91352484042: string
              fb31310f2b3fe1f0b4c66dd8e0c803e0: string
              37f33a098fd1152c04a01bbedadd17c6: string
              7266928ad44478f04a8f27b49ac6512d: string
              21bf36661b51baa1f191bec18479131d: string
              cf7076a746b66ff8fd620739d57e2891: string
              4ae4cd1d14d5adce9bb11cb0761dad93: string
              7f389760e9c61f9361806c144eacbc53: string
              f26ee7ed75c2b63fd80298fcafa3efb6: string
              9c6553a5f8c628bb98a385c3d3cfdc09: string
              0813f7c60aadf0c5c7159a8f868a9bbe: string
              4118ac7090a584d14834def2299bcc94: string
              32fda0d0c27f064ebaac81e7cff5f30e: string
              0c0c40e00a5860dd634af0960253204e: string
              to
              {'4ff884c21277cceab7ee6418bc73936d': Value('string'), '8cfcd5e737af7f02afa3c9f1e7936bfa': Value('string'), '37f33a098fd1152c04a01bbedadd17c6': Value('string'), '7629f0148314466a9e32305e1b4d1050': Value('string'), 'd464165b4ec5dc01ceb538f88a2261c8': Value('string'), '55a89c7d6b856ec0271151896bffe205': Value('string'), '3e0f482ee729a8b45eed2ea0d19ff892': Value('string'), '8bb21d8c10b8e5c39888e2e3a751078b': Value('string'), '055242138fd6c558c8f87c36dc1f0cb2': Value('string'), 'd3ceed04181ec73c17b37eb3851e7db9': Value('string'), '027556b2cd59ac47d7863966678cdf9e': Value('string'), '4f2db48f4b9f5602feb2262b98028556': Value('string'), '34dab78f3d202f54a0f3ce15f622e38f': Value('string'), 'bfa83fc72d42cd88cb00754726531baf': Value('string'), '4ddf16a213fccbd93450b7c7b9505e56': Value('string'), '44dd369bafd00106c721b71ad506ae76': Value('string'), 'c94fd76bb5c3a122ffd24f3136da6cda': Value('string'), '0cc4abbd72b39e3fe2ad93e60f2c9a83': Value('string'), 'c3d196a8c2a51b5e2f39fdb29229c36a': Value('string'), 'e66f3376d76f6b07e5b9049685519cc7': Value('string'), 'e775da0f47adb64f7dc4ba69158519ea': Value('string'), '90633605681c539f37e57316cf8dcfed': Value('string'), '9c5c4204f68d8419a57758b5acfb03b3': Value('string'), 'd1958e02340f42989424ae1df5c47d24': Value('string'), 'd8874366da2ed9e0e3eabd39130281e6': Value('string'), '4d452aff7761a938980b2b52c78f6517': Value('string'), 'a064284b7126857e59f4f00096fec30c': Value('string'), 'e301e7440c20999d0a76ec6f6949e84e': Value('string'), 'ced9fcbe6aa99e
              ...
              Value('string'), '91cdd5454b01ae46ec30b625f0372965': Value('string'), '0813f7c60aadf0c5c7159a8f868a9bbe': Value('string'), '26e1bc1929995af40eea5bb7347e9574': Value('string'), '4147c336112a6fb20eac05d8edef81f5': Value('string'), 'fb31310f2b3fe1f0b4c66dd8e0c803e0': Value('string'), '339d6db39bb201c9fbac43f2a88c25e4': Value('string'), '658a60aba871517e4d25e7c328817c38': Value('string'), '1f3257af9d7b5179b6c0ed9bd2f5e452': Value('string'), 'b02d350d30457a8a50470cfe16b190e3': Value('string'), '7d464daba6a004f1ae929b51c35a5f80': Value('string'), 'af6b80bb14e7b1fe677b45eed2b92485': Value('string'), '32fda0d0c27f064ebaac81e7cff5f30e': Value('string'), '0b40c40940b4d95581e177efd7de4421': Value('string'), '6938100f49abe0aaaf358655948cc52a': Value('string'), 'dec111ca115371fabbbfcdf5b15a2e03': Value('string'), 'ff56259ef6f2790d3c9166335aedef16': Value('string'), '39a90acf9dda678d247f17e27b112be8': Value('string'), 'dd572ec58c8650f3cc53c7cf7fd23b7c': Value('string'), '77b0678b5054b9cf054b74b10b1ca723': Value('string'), '6e8334d3e7cddfc7acfba9b2020b55e1': Value('string'), '4118ac7090a584d14834def2299bcc94': Value('string'), '6e3d8e054156db98140168c49decbe9a': Value('string'), 'f26ee7ed75c2b63fd80298fcafa3efb6': Value('string'), '581e9d00d02986429e1b031b274e8459': Value('string'), 'e369a110e526d3099ceedd415991c96d': Value('string'), 'a794a912d79db354c6208b5b3e8a8fa2': Value('string'), '37652069ff0289fbb60396a41eb5e0ae': Value('string'), '208d9b28dc8bb8ec7dd2c29b6f41dfaa': Value('string')}
              because column names don't match

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HEDA: Huggingface Electronic Data Archive

The Ultimate Autonomous OSINT Matrix

HEDA is the deep-storage vault for Project VEDA.

While VEDA handles the lightweight routing, temporal sorting, and frontend UI via GitHub, HEDA operates as a massive, passive data warehouse. It permanently stores the 1000+ word raw text extractions from over 30 global and regional news syndicates.

Architecture

Command Engine: VEDA (Python 3.12 / GitHub Actions)
Deep Extraction: Trafilatura (Asynchronous NLP Scrape)
Warehouse Storage: Hugging Face Datasets (JSON via Git LFS)
Sweep Frequency: Every 2 Hours (Autonomous)

Data Structure

The deep intel is stored in the data/ directory using the YYYY-MM-DD-deep.json naming convention.

The schema is a lightweight dictionary mapping MD5 hashes (generated from the clean URL) directly to the raw extracted text:

{
  "md5_article_hash_id": "Raw 1000+ word text extracted directly from the DOM, stripped of ads, tracking, and bloat..."
}

Downloads last month: 958

Total file size:

831 MB