Datasets:

SmartWhatt
/

thai_doc_parsing

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              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 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 1393, 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 1571, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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bundle unknown	json dict	txt string	pdf unknown	__key__ string	__url__ string
"eyJkb2NfaWQiOiAiMDAwODgzZTA3ODRkYzRkYjJmNGZmYTU4NGFlMzhhNDI3ZmVkZTg2NTdmZjA0NmM1ZWNmMmU5ZGNjNjc5OWZ(...TRUNCATED)	{"doc_id":"000883e0784dc4db2f4ffa584ae38a427fede8657ff046c5ecf2e9dcc6799fb3","split":"train","title"(...TRUNCATED)	"# ระเบียบ อส. ว่าด่วยการใช้จ่ายเงินง(...TRUNCATED)	"JVBERi0xLjQKJbC4upUKMyAwIG9iago8PC9QYXJlbnQgNCAwIFIvTWVkaWFCb3hbMCAwIDU5OCA4NDVdL0NvbnRlbnRzIDUgMCB(...TRUNCATED)	000883e0784dc4db2f4ffa584ae38a427fede8657ff046c5ecf2e9dcc6799fb3	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDAzMDJhMDljMDE4MTA4NzBkMzM0ZjgyMjQ2MDI3MDUwYTNmYjg3OWE2YjUxMGNiZjYxM2E4MzQ0ODk4NmJ(...TRUNCATED)	{"doc_id":"00302a09c01810870d334f82246027050a3fb879a6b510cbf613a83448986bc9","split":"train","title"(...TRUNCATED)	"# ร้านรับซื้อของเก่าที่มีใบอนุญาต\n\n(...TRUNCATED)	"JVBERi0xLjMKJcTl8uXrp/Og0MTGCjMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA2MTYyID4+CnN0cmV(...TRUNCATED)	00302a09c01810870d334f82246027050a3fb879a6b510cbf613a83448986bc9	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDA1NjJjMDEyZTdlZTQ5Nzc3Yzc4ZTFlNDA5MmFmN2RiNmQ2YWE3OTg0NGVmMjM5ZDE3YTY4MmFhMDk2Zjd(...TRUNCATED)	{"doc_id":"00562c012e7ee49777c78e1e4092af7db6d6aa79844ef239d17a682aa096f7f8","split":"train","title"(...TRUNCATED)	"# สถิติคดีฟื้นฟูฯ จําแนกช่วงอายุของ(...TRUNCATED)	"JVBERi0xLjUKJeLjz9MKMSAwIG9iago8PCAKICAgL1R5cGUgL0NhdGFsb2cKICAgL1BhZ2VzIDIgMCBSCiAgIC9QYWdlTGF5b3V(...TRUNCATED)	00562c012e7ee49777c78e1e4092af7db6d6aa79844ef239d17a682aa096f7f8	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDA2NzlkNTVhNTQ0MTY3OThiZDJkODVkYzc2ZWI2ZDIzYWRiM2Y4MWZiYzRlYTBhNjA0ZGY2YzNjYjUzNWY(...TRUNCATED)	{"doc_id":"00679d55a54416798bd2d85dc76eb6d23adb3f81fbc4ea0a604df6c3cb535f8e","split":"train","title"(...TRUNCATED)	"# ข้อมูลสถิติเรื่องร้องเรียนการทุจ(...TRUNCATED)	"JVBERi0xLjcNCiW1tbW1DQoxIDAgb2JqDQo8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFIvTGFuZyh0aCkgL1N0cnVjdFRyZWV(...TRUNCATED)	00679d55a54416798bd2d85dc76eb6d23adb3f81fbc4ea0a604df6c3cb535f8e	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDA3OGE3ZjljN2EzNzJkMzk3YzM1ZmI5YjFkMzE1ZmE1MDI3NjRmN2YzYTdiYTc2NzNjODg4ZjBmYzNiYmR(...TRUNCATED)	{"doc_id":"0078a7f9c7a372d397c35fb9b1d315fa502764f7f3a7ba7673c888f0fc3bbddd","split":"train","title"(...TRUNCATED)	"# แผนการตรวจสอบภายใน ประจำปีงบประมา(...TRUNCATED)	"JVBERi0xLjcNCiW1tbW1DQoxIDAgb2JqDQo8PC9UeXBlL0NhdGFsb2cvUGFnZXMgMiAwIFIvTGFuZyhlbi1VUykgL1N0cnVjdFR(...TRUNCATED)	0078a7f9c7a372d397c35fb9b1d315fa502764f7f3a7ba7673c888f0fc3bbddd	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDBiNGE3MWFmYjlhODIzYWJkZWRiZjVlMGNiZWNmZGUwZGVhZmEyM2FjMjFkN2I1NjZkOWVkMjgzZGFkMTM(...TRUNCATED)	{"doc_id":"00b4a71afb9a823abdedbf5e0cbecfde0deafa23ac21d7b566d9ed283dad130a","split":"train","title"(...TRUNCATED)	"# มาตรการและแนวปฏิบัติเกี่ยวกับการ(...TRUNCATED)	"JVBERi0xLjcKNCAwIG9iago8PAovVHlwZSAvUGFnZQovUmVzb3VyY2VzCjw8Ci9YT2JqZWN0Cjw8IC9QQUdFMDAwMSA3IDAgUiA(...TRUNCATED)	00b4a71afb9a823abdedbf5e0cbecfde0deafa23ac21d7b566d9ed283dad130a	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDBiZWJmNzNlODZjZGM0MjY2NWQxNmM3NGI2NjhmYTI3YTQzNTc5MzQzZTllZTY3MGEzOWU4ZDlmNDMxZWE(...TRUNCATED)	{"doc_id":"00bebf73e86cdc42665d16c74b668fa27a43579343e9ee670a39e8d9f431ea82","split":"train","title"(...TRUNCATED)	"# สถิติการเข้าดูข้อมูลข่าวสาร\n\n<!-- page 1 (...TRUNCATED)	"JVBERi0xLjcKJeDg4OAKCjMKIDAgb2JqClsvQ2FsUkdCPDwvR2FtbWFbMi4yMDAwMDAwNDc2ODM3MTU4IDIuMjAwMDAwMDQ3Njg(...TRUNCATED)	00bebf73e86cdc42665d16c74b668fa27a43579343e9ee670a39e8d9f431ea82	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDBkMzc0ZjlmZDIzMTBlNzY5MDMzMDg2MzRlYzJlZGYxMGM1NzdkMTZlZTNmYjY1ZjEzNDgyZmY1YzAyNDg(...TRUNCATED)	{"doc_id":"00d374f9fd2310e76903308634ec2edf10c577d16ee3fb65f13482ff5c02480d","split":"train","title"(...TRUNCATED)	"# PDF_แนวปฏิบัติการจัดการเรื่องร้องเร(...TRUNCATED)	"JVBERi0xLjQKJfbk/N8KMSAwIG9iago8PAovVHlwZSAvQ2F0YWxvZwovVmVyc2lvbiAvMS40Ci9QYWdlcyAyIDAgUgovTWV0YWR(...TRUNCATED)	00d374f9fd2310e76903308634ec2edf10c577d16ee3fb65f13482ff5c02480d	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDExMDI4NzIxYmRhZjdlZDNkMTdmMTUwZTMxN2EzM2Q2M2E5YzVhM2VkMGZlNzE5OTBiZjllN2UxN2I0ODI(...TRUNCATED)	{"doc_id":"011028721bdaf7ed3d17f150e317a33d63a9c5a3ed0fe71990bf9e7e17b48217","split":"train","title"(...TRUNCATED)	"# ความรู้จากงานวิจัยเกี่ยวกับฝายต้(...TRUNCATED)	"JVBERi0xLjUNJeLjz9MNCjY0IDAgb2JqDTw8L0xpbmVhcml6ZWQgMS9MIDM5MDc3NC9PIDY2L0UgNzU3NDEvTiA5L1QgMzg5NDQ(...TRUNCATED)	011028721bdaf7ed3d17f150e317a33d63a9c5a3ed0fe71990bf9e7e17b48217	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)
"eyJkb2NfaWQiOiAiMDEyYjc4ODJlMjRmZDdmOGFiZGVlMjllMzcyMzg5YjM4ZTFlNDhkNWQ4NmMyMmEyMTJkYWVjNjA3ZmFiNzY(...TRUNCATED)	{"doc_id":"012b7882e24fd7f8abdee29e372389b38e1e48d5d86c22a212daec607fab7669","split":"train","title"(...TRUNCATED)	"# แนวทางการให้บริการสำหรับหน่วยงาน(...TRUNCATED)	"JVBERi0xLjYNJeLjz9MNCjcgMCBvYmoNPDwvTGluZWFyaXplZCAxL0wgMjY2NjI5L08gOS9FIDI2MjUzOC9OIDEvVCAyNjYzMzg(...TRUNCATED)	012b7882e24fd7f8abdee29e372389b38e1e48d5d86c22a212daec607fab7669	"hf://datasets/SmartWhatt/thai_doc_parsing@fe5c6357a426b44f49350bb5ae1f991162d5234f/documents-train-(...TRUNCATED)

End of preview.

Thai document parsing corpus (thai_doc_parsing v1)

Structured Thai documents for vision-language continued pretraining: page images, one canonical annotation (thai-doc-ir/1), and deterministic Markdown / LaTeX / Typst / HTML views.

Sources

Government publications and forms from the data.go.th catalog and allowlisted agency hosts, plus the sources recorded in sources.parquet. Every document keeps its source URL, landing page snapshot hash, retrieval time, and the licence recorded with it.

Rights basis

Only documents whose item-level decision permits redistribution are packaged. Each row of rights.parquet carries training_allowed, redistribution_allowed, the licence, the evidence URL, the terms-snapshot hash, and the reviewer. Laned counts in this release: {"green": 4939, "amber": 1028}. Material with unresolved rights stays in local quarantine and is not uploaded.

Exclusions

Documents with personal data (national identifiers, contact details, signatures, filled forms), unknown licences, non-commercial-only licences, or failing quality gates are excluded; the counts and reasons are in release.json.

Intended use and limitations

Continued pretraining and evaluation of Thai document understanding. Known limitations: the first tranche is government-publication heavy ({"government": 8920, "academic": 100, "legal": 1} by family), historical scans are represented only where triage routed them to the OCR/VLM lanes, and complex tables and equations are serialized with declared transformations rather than a guaranteed lossless reconstruction.

Token counts

Measured with the pinned tokenizer and image processor (Qwen/Qwen3-VL-2B-Instruct@main), never estimated from a pages-to-tokens multiplier. The four serializations are four views of one annotation: they are listed separately and not summed, and only the selected view contributes a document's semantic text tokens.

Text view	Files	Text tokens
`html`	1,819	15,769,649
`latex`	1,819	14,138,852
`markdown`	1,819	13,774,911
`typst`	1,819	13,456,507

	Tokens
Text (selected view: Markdown)	13,774,911
Visual (page images, 15,240 pages)	57,168,915
Combined for one training pass	70,943,826

Provenance and takedown

Code commit 3b3b3afa392f5f94c8cb3d1cc907edde43606f87, config hash 6c43ba7d42a75b8a, IR version thai-doc-ir/1. Takedown or correction requests: open an issue on the dataset repository; every shard maps to document ids through release.json, so an affected document can be located across all artifacts.

Downloads last month: 512

Total file size:

12.4 GB