Dataset Viewer
Split (1)
train
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
original_name: string
source_file: string
document_id: string
chunk_count: int64
graph_edge_count: int64
validation_errors: int64
validation_messages: list<item: null>
  child 0, item: null
level_counts: struct<Điểm: int64, Tiểu mục: int64>
  child 0, Điểm: int64
  child 1, Tiểu mục: int64
parser_routes: struct<administrative-pages: int64>
  child 0, administrative-pages: int64
graph_relation_counts: struct<THAM_CHIEU_DEN: int64>
  child 0, THAM_CHIEU_DEN: int64
graph_reference_scope_counts: struct<external: int64>
  child 0, external: int64
graph_edges: list<item: struct<edge_id: string, source_node_id: string, relation_type: string, target_node_id: st (... 244 chars omitted)
  child 0, item: struct<edge_id: string, source_node_id: string, relation_type: string, target_node_id: string, origi (... 232 chars omitted)
      child 0, edge_id: string
      child 1, source_node_id: string
      child 2, relation_type: string
      child 3, target_node_id: string
      child 4, original_chunk_id: string
      child 5, metadata: struct<scope: string, extractor: string, matched_text: string, matched_text_normalized: string, targ (... 99 chars omitted)
          child 0, scope: string
          child 1, extractor: string
          child 2, matched_text: string
          child 3, matched_text_normalized: string
          child 4, target_document_id: string
          child 5, target_article_no: string
          child 6, target_clause_no: string
          child 7, target_point_no: null
chunk_id: string
hierarchy_path: list<item: string>
  child 0, item: string
metadata: struct<document_id: string, source_file: string, document_type: string, level: string, status: strin (... 352 chars omitted)
  child 0, document_id: string
  child 1, source_file: string
  child 2, document_type: string
  child 3, level: string
  child 4, status: string
  child 5, effective_date: null
  child 6, issued_date: null
  child 7, expiry_date: null
  child 8, parent_id: string
  child 9, chapter_no: null
  child 10, section_no: string
  child 11, article_no: null
  child 12, clause_no: null
  child 13, point_no: string
  child 14, table_index: null
  child 15, table_page: null
  child 16, row_number: null
  child 17, thematic_column: null
  child 18, thematic_value: null
  child 19, thematic_values: list<item: null>
      child 0, item: null
  child 20, group_row_count: null
  child 21, parser_route: string
raw_text: string
to
{'chunk_id': Value('string'), 'raw_text': Value('string'), 'hierarchy_path': List(Value('string')), 'metadata': {'document_id': Value('string'), 'source_file': Value('string'), 'document_type': Value('string'), 'level': Value('string'), 'status': Value('string'), 'effective_date': Value('null'), 'issued_date': Value('null'), 'expiry_date': Value('null'), 'parent_id': Value('string'), 'chapter_no': Value('null'), 'section_no': Value('string'), 'article_no': Value('null'), 'clause_no': Value('null'), 'point_no': Value('string'), 'table_index': Value('null'), 'table_page': Value('null'), 'row_number': Value('null'), 'thematic_column': Value('null'), 'thematic_value': Value('null'), 'thematic_values': List(Value('null')), 'group_row_count': Value('null'), 'parser_route': Value('string')}, 'graph_edges': List({'edge_id': Value('string'), 'source_node_id': Value('string'), 'relation_type': Value('string'), 'target_node_id': Value('string'), 'original_chunk_id': Value('string'), 'metadata': {'scope': Value('string'), 'extractor': Value('string'), 'matched_text': Value('string'), 'matched_text_normalized': Value('string'), 'target_document_id': Value('string'), 'target_article_no': Value('string'), 'target_clause_no': Value('string'), 'target_point_no': Value('null')}})}
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 295, 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 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              original_name: string
              source_file: string
              document_id: string
              chunk_count: int64
              graph_edge_count: int64
              validation_errors: int64
              validation_messages: list<item: null>
                child 0, item: null
              level_counts: struct<Điểm: int64, Tiểu mục: int64>
                child 0, Điểm: int64
                child 1, Tiểu mục: int64
              parser_routes: struct<administrative-pages: int64>
                child 0, administrative-pages: int64
              graph_relation_counts: struct<THAM_CHIEU_DEN: int64>
                child 0, THAM_CHIEU_DEN: int64
              graph_reference_scope_counts: struct<external: int64>
                child 0, external: int64
              graph_edges: list<item: struct<edge_id: string, source_node_id: string, relation_type: string, target_node_id: st (... 244 chars omitted)
                child 0, item: struct<edge_id: string, source_node_id: string, relation_type: string, target_node_id: string, origi (... 232 chars omitted)
                    child 0, edge_id: string
                    child 1, source_node_id: string
                    child 2, relation_type: string
                    child 3, target_node_id: string
                    child 4, original_chunk_id: string
                    child 5, metadata: struct<scope: string, extractor: string, matched_text: string, matched_text_normalized: string, targ (... 99 chars omitted)
                        child 0, scope: string
                        child 1, extractor: string
                        child 2, matched_text: string
                        child 3, matched_text_normalized: string
                        child 4, target_document_id: string
                        child 5, target_article_no: string
                        child 6, target_clause_no: string
                        child 7, target_point_no: null
              chunk_id: string
              hierarchy_path: list<item: string>
                child 0, item: string
              metadata: struct<document_id: string, source_file: string, document_type: string, level: string, status: strin (... 352 chars omitted)
                child 0, document_id: string
                child 1, source_file: string
                child 2, document_type: string
                child 3, level: string
                child 4, status: string
                child 5, effective_date: null
                child 6, issued_date: null
                child 7, expiry_date: null
                child 8, parent_id: string
                child 9, chapter_no: null
                child 10, section_no: string
                child 11, article_no: null
                child 12, clause_no: null
                child 13, point_no: string
                child 14, table_index: null
                child 15, table_page: null
                child 16, row_number: null
                child 17, thematic_column: null
                child 18, thematic_value: null
                child 19, thematic_values: list<item: null>
                    child 0, item: null
                child 20, group_row_count: null
                child 21, parser_route: string
              raw_text: string
              to
              {'chunk_id': Value('string'), 'raw_text': Value('string'), 'hierarchy_path': List(Value('string')), 'metadata': {'document_id': Value('string'), 'source_file': Value('string'), 'document_type': Value('string'), 'level': Value('string'), 'status': Value('string'), 'effective_date': Value('null'), 'issued_date': Value('null'), 'expiry_date': Value('null'), 'parent_id': Value('string'), 'chapter_no': Value('null'), 'section_no': Value('string'), 'article_no': Value('null'), 'clause_no': Value('null'), 'point_no': Value('string'), 'table_index': Value('null'), 'table_page': Value('null'), 'row_number': Value('null'), 'thematic_column': Value('null'), 'thematic_value': Value('null'), 'thematic_values': List(Value('null')), 'group_row_count': Value('null'), 'parser_route': Value('string')}, 'graph_edges': List({'edge_id': Value('string'), 'source_node_id': Value('string'), 'relation_type': Value('string'), 'target_node_id': Value('string'), 'original_chunk_id': Value('string'), 'metadata': {'scope': Value('string'), 'extractor': Value('string'), 'matched_text': Value('string'), 'matched_text_normalized': Value('string'), 'target_document_id': Value('string'), 'target_article_no': Value('string'), 'target_clause_no': Value('string'), 'target_point_no': Value('null')}})}
              because column names don't match
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Step 2 Outputs

chunks.jsonl: validated leaf chunks for each document, including graph_edges with cross-reference metadata
chunks.md: full readable Markdown export of the chunk outputs
summary.json: per-document counts, parser routes, graph-edge counts, and validation results
Step 2 now chunks from step-1 structured artifacts:
raw.md for legal structure
clean_pages.jsonl for administrative narrative flow
raw.json for tables and appendices
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Total file size:
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