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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
meta: struct<export_version: string, version: string, dataset_doi: string, generated_by: string, sig: stri (... 90 chars omitted)
  child 0, export_version: string
  child 1, version: string
  child 2, dataset_doi: string
  child 3, generated_by: string
  child 4, sig: string
  child 5, source: string
  child 6, counts: struct<anomalies: int64>
      child 0, anomalies: int64
  child 7, source_digest: string
  child 8, note: string
anomalies: list<item: struct<schema_version: string, id: string, labels: struct<fr: string, en: string, zh: nul (... 443 chars omitted)
  child 0, item: struct<schema_version: string, id: string, labels: struct<fr: string, en: string, zh: null, hi: null (... 431 chars omitted)
      child 0, schema_version: string
      child 1, id: string
      child 2, labels: struct<fr: string, en: string, zh: null, hi: null>
          child 0, fr: string
          child 1, en: string
          child 2, zh: null
          child 3, hi: null
      child 3, description: string
      child 4, status: string
      child 5, resolution: null
      child 6, observed_at: timestamp[s]
      child 7, affected_artifacts: list<item: string>
          child 0, item: string
      child 8, observations: list<item: struct<value: string, source_ref: struct<path: string, kind: string, locator: string, has (... 71 chars omitted)
          child 0, item: struct<value: string, source_ref: struct<path: string, kind: string, locator: string, hash: string,  (... 59 chars omitted)
      
...
te: string
      child 10, provenance_record: null
      child 11, notes: string
beacons: list<item: struct<tag_id: string, entity_id: string, canonical_id: string, entity_kind: string, labe (... 394 chars omitted)
  child 0, item: struct<tag_id: string, entity_id: string, canonical_id: string, entity_kind: string, label: string,  (... 382 chars omitted)
      child 0, tag_id: string
      child 1, entity_id: string
      child 2, canonical_id: string
      child 3, entity_kind: string
      child 4, label: string
      child 5, one_line_meaning: string
      child 6, canonical_path: string
      child 7, version: string
      child 8, card_version: string
      child 9, dataset_doi: string
      child 10, content_hash: string
      child 11, context_note: string
      child 12, source_refs: list<item: struct<path: string, kind: string, locator: string, hash: string, sig: string, date: time (... 24 chars omitted)
          child 0, item: struct<path: string, kind: string, locator: string, hash: string, sig: string, date: timestamp[s], a (... 12 chars omitted)
              child 0, path: string
              child 1, kind: string
              child 2, locator: string
              child 3, hash: string
              child 4, sig: string
              child 5, date: timestamp[s]
              child 6, author: null
      child 13, status: string
      child 14, resolution_status: string
      child 15, flag: bool
      child 16, flag_reason: string
      child 17, note: string
to
{'meta': {'export_version': Value('string'), 'version': Value('string'), 'dataset_doi': Value('string'), 'generated_by': Value('string'), 'sig': Value('string'), 'source': Value('string'), 'counts': {'beacons': Value('int64')}, 'source_digest': Value('string'), 'note': Value('string')}, 'beacons': List({'tag_id': Value('string'), 'entity_id': Value('string'), 'canonical_id': Value('string'), 'entity_kind': Value('string'), 'label': Value('string'), 'one_line_meaning': Value('string'), 'canonical_path': Value('string'), 'version': Value('string'), 'card_version': Value('string'), 'dataset_doi': Value('string'), 'content_hash': Value('string'), 'context_note': Value('string'), 'source_refs': List({'path': Value('string'), 'kind': Value('string'), 'locator': Value('string'), 'hash': Value('string'), 'sig': Value('string'), 'date': Value('timestamp[s]'), 'author': Value('null')}), 'status': Value('string'), 'resolution_status': Value('string'), 'flag': Value('bool'), 'flag_reason': Value('string'), 'note': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              meta: struct<export_version: string, version: string, dataset_doi: string, generated_by: string, sig: stri (... 90 chars omitted)
                child 0, export_version: string
                child 1, version: string
                child 2, dataset_doi: string
                child 3, generated_by: string
                child 4, sig: string
                child 5, source: string
                child 6, counts: struct<anomalies: int64>
                    child 0, anomalies: int64
                child 7, source_digest: string
                child 8, note: string
              anomalies: list<item: struct<schema_version: string, id: string, labels: struct<fr: string, en: string, zh: nul (... 443 chars omitted)
                child 0, item: struct<schema_version: string, id: string, labels: struct<fr: string, en: string, zh: null, hi: null (... 431 chars omitted)
                    child 0, schema_version: string
                    child 1, id: string
                    child 2, labels: struct<fr: string, en: string, zh: null, hi: null>
                        child 0, fr: string
                        child 1, en: string
                        child 2, zh: null
                        child 3, hi: null
                    child 3, description: string
                    child 4, status: string
                    child 5, resolution: null
                    child 6, observed_at: timestamp[s]
                    child 7, affected_artifacts: list<item: string>
                        child 0, item: string
                    child 8, observations: list<item: struct<value: string, source_ref: struct<path: string, kind: string, locator: string, has (... 71 chars omitted)
                        child 0, item: struct<value: string, source_ref: struct<path: string, kind: string, locator: string, hash: string,  (... 59 chars omitted)
                    
              ...
              te: string
                    child 10, provenance_record: null
                    child 11, notes: string
              beacons: list<item: struct<tag_id: string, entity_id: string, canonical_id: string, entity_kind: string, labe (... 394 chars omitted)
                child 0, item: struct<tag_id: string, entity_id: string, canonical_id: string, entity_kind: string, label: string,  (... 382 chars omitted)
                    child 0, tag_id: string
                    child 1, entity_id: string
                    child 2, canonical_id: string
                    child 3, entity_kind: string
                    child 4, label: string
                    child 5, one_line_meaning: string
                    child 6, canonical_path: string
                    child 7, version: string
                    child 8, card_version: string
                    child 9, dataset_doi: string
                    child 10, content_hash: string
                    child 11, context_note: string
                    child 12, source_refs: list<item: struct<path: string, kind: string, locator: string, hash: string, sig: string, date: time (... 24 chars omitted)
                        child 0, item: struct<path: string, kind: string, locator: string, hash: string, sig: string, date: timestamp[s], a (... 12 chars omitted)
                            child 0, path: string
                            child 1, kind: string
                            child 2, locator: string
                            child 3, hash: string
                            child 4, sig: string
                            child 5, date: timestamp[s]
                            child 6, author: null
                    child 13, status: string
                    child 14, resolution_status: string
                    child 15, flag: bool
                    child 16, flag_reason: string
                    child 17, note: string
              to
              {'meta': {'export_version': Value('string'), 'version': Value('string'), 'dataset_doi': Value('string'), 'generated_by': Value('string'), 'sig': Value('string'), 'source': Value('string'), 'counts': {'beacons': Value('int64')}, 'source_digest': Value('string'), 'note': Value('string')}, 'beacons': List({'tag_id': Value('string'), 'entity_id': Value('string'), 'canonical_id': Value('string'), 'entity_kind': Value('string'), 'label': Value('string'), 'one_line_meaning': Value('string'), 'canonical_path': Value('string'), 'version': Value('string'), 'card_version': Value('string'), 'dataset_doi': Value('string'), 'content_hash': Value('string'), 'context_note': Value('string'), 'source_refs': List({'path': Value('string'), 'kind': Value('string'), 'locator': Value('string'), 'hash': Value('string'), 'sig': Value('string'), 'date': Value('timestamp[s]'), 'author': Value('null')}), 'status': Value('string'), 'resolution_status': Value('string'), 'flag': Value('bool'), 'flag_reason': Value('string'), 'note': Value('string')})}
              because column names don't match

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MTTV-FLP — Membrane sémantique minimale (v1.0.0)

sig:0x4D5454562D464C50 — Membrane sémantique minimale du cadre MTTV-FLP, adossée au corpus FLP (~100 000 extraits tagués manuellement).

Référents chiffrés (phase 4B)

Champ Valeur
Version v1.0.0
DOI Zenodo 10.5281/zenodo.21977492
Licence CC-BY-4.0
Concepts 22
Anomalies 1
Relations 11
Provenance 4 enregistrements
Graphe 29 nœuds, 11 arêtes

Contenu

  • semantic/exports/*.json — exports fidèles (concepts, anomalies, relations, provenance) + semantic-graph.json (graphe avec canonical_id, content_hash, dataset_doi, version).
  • semantic/exports/*.csv — vues tabulaires (nœuds, arêtes).
  • semantic/exports/semantic-map.mmd — vue Mermaid.
  • beacons/* — 29 balises web (dataset_doi, content_hash, canonical_id, version, context_note) en HTML/JSON/YAML.
  • docs/*.md — index, glossaire, politique, audit, reproductibilité.

Reproductibilité

python semantic/validate.py      # → VALIDATION_OK, 0 erreur
python semantic/export.py --check  # → EXPORTS_REPRODUCIBLE

Publication archivée

  • Zenodo : 10.5281/zenodo.21977492https://zenodo.org/records/21977492
  • GitHub Pages : https://gaillard111.github.io/flp-french-thoughts/

« Nulle forme sans signature. Nul passage sans témoins. » sig:0x4D5454562D464C50

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