Dataset Viewer
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 aveccanonical_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.21977492→https://zenodo.org/records/21977492 - GitHub Pages :
https://gaillard111.github.io/flp-french-thoughts/
« Nulle forme sans signature. Nul passage sans témoins. » sig:0x4D5454562D464C50
- Downloads last month
- 39