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ABreidenstein
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OCFproject

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 13 new columns ({'numero_formation', 'contenu_formation', 'id_cdc', 'libelle_formacode', 'capacites_attestees', 'libelle_domaine', 'objectif_formation', 'intitule_formation', 'objectifs_contexte', 'prioritaire', 'activites_visees', 'intitule', 'libelle_grand_domaine'}) and 3 missing columns ({'code_grand_domaine_prioritaire', 'code_domaine_prioritaire', 'code_formacode_prioritaire'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ABreidenstein/OCFproject/offreCertifFormacode.csv (at revision de70671a0a24e7268b3b0956dde1364be17e2f3a), ['hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/certifsFormacodesFull.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/domaines.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/formacodes.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/gd_domaines.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/offreCertifFormacode.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              referentiel_code: string
              numero_formation: string
              intitule_formation: string
              contenu_formation: string
              objectif_formation: string
              code_formacode: int64
              id_cdc: int64
              intitule: string
              activites_visees: string
              capacites_attestees: string
              objectifs_contexte: string
              prioritaire: bool
              code_grand_domaine: int64
              code_domaine: int64
              libelle_formacode: string
              libelle_domaine: string
              libelle_grand_domaine: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2484
              to
              {'referentiel_code': Value('string'), 'code_formacode': Value('string'), 'code_domaine': Value('string'), 'code_grand_domaine': Value('string'), 'code_formacode_prioritaire': Value('int64'), 'code_domaine_prioritaire': Value('int64'), 'code_grand_domaine_prioritaire': Value('int64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 1683, 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 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 13 new columns ({'numero_formation', 'contenu_formation', 'id_cdc', 'libelle_formacode', 'capacites_attestees', 'libelle_domaine', 'objectif_formation', 'intitule_formation', 'objectifs_contexte', 'prioritaire', 'activites_visees', 'intitule', 'libelle_grand_domaine'}) and 3 missing columns ({'code_grand_domaine_prioritaire', 'code_domaine_prioritaire', 'code_formacode_prioritaire'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ABreidenstein/OCFproject/offreCertifFormacode.csv (at revision de70671a0a24e7268b3b0956dde1364be17e2f3a), ['hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/certifsFormacodesFull.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/domaines.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/formacodes.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/gd_domaines.csv', 'hf://datasets/ABreidenstein/OCFproject@de70671a0a24e7268b3b0956dde1364be17e2f3a/offreCertifFormacode.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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.

referentiel_code
string
code_formacode
string
code_domaine
string
code_grand_domaine
string
code_formacode_prioritaire
int64
code_domaine_prioritaire
int64
code_grand_domaine_prioritaire
int64
RNCP10190
[32062, 15099, 31608]
[320, 150, 316]
[111, 101, 105]
31,608
316
105
RNCP10191
[12046, 32062, 15099]
[120, 320, 150]
[103, 111, 101]
12,046
120
103
RNCP10193
[24231, 32062, 15099, 31054]
[242, 320, 150, 310]
[110, 111, 101, 112]
31,054
310
112
RNCP10194
[23654, 32062, 23554, 15099, 31652]
[236, 320, 235, 150, 316]
[109, 111, 103, 101, 105]
23,654
236
109
RNCP1033
[12081]
[120]
[103]
12,081
120
103
RNCP1088
[21859]
[218]
[107]
21,859
218
107
RNCP1097
[43484, 21859]
[434, 218]
[113, 107]
21,859
218
107
RNCP10980
[24354, 24254, 32062, 15099, 31054]
[243, 242, 320, 150, 310]
[110, 110, 111, 101, 112]
24,254
242
110
RNCP1122
[22274]
[222]
[108]
22,274
222
108
RNCP11695
[14258]
[142]
[101]
14,258
142
101
RNCP12738
[31654, 32062, 15099]
[316, 320, 150]
[105, 111, 101]
31,654
316
105
RNCP13040
[24354, 31054]
[243, 310]
[110, 112]
24,354
243
110
RNCP13296
[21570, 12549, 21347]
[215, 125, 213]
[107, 114, 106]
21,347
213
106
RNCP13866
[45071, 45085]
[450, 450]
[104, 104]
45,071
450
104
RNCP13969
[24454, 24054, 24354, 32062, 24158]
[244, 240, 243, 320, 241]
[109, 110, 110, 111, 107]
24,054
240
110
RNCP13987
[32062, 23554, 15099, 45006, 31676]
[320, 235, 150, 450, 316]
[111, 103, 101, 104, 105]
23,554
235
103
RNCP14518
[21056, 21052]
[210, 210]
[106, 106]
21,056
210
106
RNCP14529
[23654, 32062, 15099, 31652]
[236, 320, 150, 316]
[109, 111, 101, 105]
23,654
236
109
RNCP14893
[31407, 22601]
[314, 226]
[105, 107]
31,407
314
105
RNCP14899
[42006, 12582, 42093]
[420, 125, 420]
[114, 114, 114]
12,582
125
114
RNCP14923
[21554]
[215]
[107]
21,554
215
107
RNCP15009
[24147]
[241]
[107]
24,147
241
107
RNCP15156
[21046]
[210]
[106]
21,046
210
106
RNCP15673
[21041]
[210]
[106]
21,041
210
106
RNCP15674
[12547, 12589, 14215]
[125, 125, 142]
[114, 114, 101]
14,215
142
101
RNCP16044
[24454, 24054, 24354, 32062, 31652]
[244, 240, 243, 320, 316]
[109, 110, 110, 111, 105]
24,054
240
110
RNCP16515
[32062, 15099, 32154]
[320, 150, 321]
[111, 101, 111]
32,062
320
111
RNCP16694
[11428, 32062, 15099, 24134]
[114, 320, 150, 241]
[103, 111, 101, 107]
24,134
241
107
RNCP17080
[32062, 31886, 15099, 31892, 31870]
[320, 318, 150, 318, 318]
[111, 111, 101, 111, 111]
31,870
318
111
RNCP17218
[21046]
[210]
[106]
21,046
210
106
RNCP17696
[31624, 23090, 23554, 31652]
[316, 230, 235, 316]
[105, 109, 103, 105]
23,554
235
103
RNCP18318
[43497]
[434]
[113]
43,497
434
113
RNCP18363
[43491]
[434]
[113]
43,491
434
113
RNCP18364
[43493]
[434]
[113]
43,493
434
113
RNCP18367
[43457]
[434]
[113]
43,457
434
113
RNCP18390
[32154, 32062, 15099]
[321, 320, 150]
[111, 111, 101]
32,062
320
111
RNCP19114
[42803]
[428]
[114]
42,803
428
114
RNCP19117
[23615, 23635, 23637]
[236, 236, 236]
[109, 109, 109]
23,637
236
109
RNCP19118
[23635, 23637]
[236, 236]
[109, 109]
23,637
236
109
RNCP19825
[31371, 23650, 11481, 23054, 23546]
[313, 236, 114, 230, 235]
[105, 109, 103, 109, 103]
23,546
235
103
RNCP20047
[14227]
[142]
[101]
14,227
142
101
RNCP2028
[44007]
[440]
[113]
44,007
440
113
RNCP20692
[12582, 42093, 12570]
[125, 420, 125]
[114, 114, 114]
12,582
125
114
RNCP20812
[30854, 31054]
[308, 310]
[112, 112]
31,054
310
112
RNCP22279
[43486]
[434]
[113]
43,486
434
113
RNCP2263
[21058, 21551]
[210, 215]
[106, 107]
21,058
210
106
RNCP2271
[34502, 21052, 21001]
[345, 210, 210]
[111, 106, 106]
21,001
210
106
RNCP2274
[21088]
[210]
[106]
21,088
210
106
RNCP2278
[21051]
[210]
[106]
21,051
210
106
RNCP2281
[21083]
[210]
[106]
21,083
210
106
RNCP2296
[32663, 21052]
[326, 210]
[111, 106]
21,052
210
106
RNCP230
[43006]
[430]
[113]
43,006
430
113
RNCP2303
[21011]
[210]
[106]
21,011
210
106
RNCP2306
[21524]
[215]
[107]
21,524
215
107
RNCP2307
[42623, 42693]
[426, 426]
[113, 113]
42,623
426
113
RNCP23745
[32054, 34254]
[320, 342]
[111, 111]
34,254
342
111
RNCP24148
[12512, 12534, 12522]
[125, 125, 125]
[114, 114, 114]
12,534
125
114
RNCP24154
[31870, 21333]
[318, 213]
[111, 106]
31,870
318
111
RNCP24240
[13254, 15093]
[132, 150]
[102, 101]
15,093
150
101
RNCP24424
[13154]
[131]
[102]
13,154
131
102
RNCP24426
[32663, 32054]
[326, 320]
[111, 111]
32,054
320
111
RNCP24429
[43454]
[434]
[113]
43,454
434
113
RNCP24430
[14227]
[142]
[101]
14,227
142
101
RNCP24432
[14207, 14216]
[142, 142]
[101, 101]
14,207
142
101
RNCP24433
[12512, 12252, 14223]
[125, 122, 142]
[114, 103, 101]
14,223
142
101
RNCP24434
[14277]
[142]
[101]
14,277
142
101
RNCP24435
[14454]
[144]
[102]
14,454
144
102
RNCP24461
[44542, 44586, 44530]
[445, 445, 445]
[113, 113, 113]
44,586
445
113
RNCP24462
[14232]
[142]
[101]
14,232
142
101
RNCP24464
[14241]
[142]
[101]
14,241
142
101
RNCP24465
[14256]
[142]
[101]
14,256
142
101
RNCP24466
[14224, 14235]
[142, 142]
[101, 101]
14,224
142
101
RNCP24469
[45054]
[450]
[104]
45,054
450
104
RNCP24470
[45066]
[450]
[104]
45,066
450
104
RNCP24471
[45004]
[450]
[104]
45,004
450
104
RNCP24480
[45073, 14216]
[450, 142]
[104, 101]
14,216
142
101
RNCP24481
[14261]
[142]
[101]
14,261
142
101
RNCP24508
[15254, 14201, 14270]
[152, 142, 142]
[101, 101, 101]
15,254
152
101
RNCP24514
[31054]
[310]
[112]
31,054
310
112
RNCP24516
[11052, 14256]
[110, 142]
[103, 101]
14,256
142
101
RNCP24518
[11054]
[110]
[103]
11,054
110
103
RNCP24519
[11454]
[114]
[103]
11,454
114
103
RNCP24529
[11554, 11454]
[115, 114]
[103, 103]
11,554
115
103
RNCP24530
[12046]
[120]
[103]
12,046
120
103
RNCP24531
[12254]
[122]
[103]
12,254
122
103
RNCP24532
[12054, 12254]
[120, 122]
[103, 103]
12,254
122
103
RNCP24533
[24472, 24054, 24354]
[244, 240, 243]
[109, 110, 110]
24,472
244
109
RNCP24535
[23554]
[235]
[103]
23,554
235
103
RNCP24536
[22024]
[220]
[108]
22,024
220
108
RNCP24537
[12046, 11054, 23554, 11554, 11454]
[120, 110, 235, 115, 114]
[103, 103, 103, 103, 103]
11,554
115
103
RNCP24538
[31654]
[316]
[105]
31,654
316
105
RNCP24650
[42006, 12582]
[420, 125]
[114, 114]
12,582
125
114
RNCP24655
[42093]
[420]
[114]
42,093
420
114
RNCP24666
[15410]
[154]
[113]
15,410
154
113
RNCP24765
[11454]
[114]
[103]
11,454
114
103
RNCP25169
[15254]
[152]
[101]
15,254
152
101
RNCP25171
[14254]
[142]
[101]
14,254
142
101
RNCP25172
[43454]
[434]
[113]
43,454
434
113
RNCP25323
[31883, 31892]
[318, 318]
[111, 111]
31,892
318
111
RNCP25324
[31870, 31892]
[318, 318]
[111, 111]
31,892
318
111
End of preview.

Dataset Card for OCF data

This dataset comes from the french vocational training domain and links training offers to certifications and formacodes (an ontology structuring vocational training in France). The training offers come from the French vocational training platform Mon Compte Formation, while the certifications are managed by FranceCompétences.

Dataset Details

Dataset Description

  • certifsFormacodeFull.csv: contains the code of the certifications and the formacodes, domains and broad domains linked to them.
  • offreCertifFormacode.csv: original data with training offers, certifications and formacode information, without any additional preprocessing
  • gd_domaines.csv: contains all the codes for broad domains
  • domaines.csv: contains all the codes for domains
  • formacodes.csv: contains all the codes for formacodes
  • offreCertifFormacode.pkl: this file can be obtained with preprocessing.py. In comparison to certifsFormacodeFull.csv, the text is clean.
  • offreCertifFormacodeFiltered_multilab_False.pkl: this file contains our fully cleaned dataset in simple label mode after having been filtered for duplicates and can be obtained with filterDataset.py
  • offreCertifFormacodeFiltered_multilab_True.pkl: this file contains our fully cleaned dataset in multilabel mode after having been filtered for duplicates and can be obtained with filterDataset.py

This dataset is linked to the TALN publication : https://talnarchives.atala.org/TALN/TALN-2026/10.pdf The code associated to our dataset is available here : https://github.com/abreidenstein/OCFproject

Dataset Sources

This dataset was joined from data from several datasets. The offers are those of the French platform Mon Compte Formation (MCF) (https://www.moncompteformation.gouv.fr/). Their textual content and links to the certifications and formacodes can be found on the website for the open data of the Caisse des Dépôts et Consignations (https://opendata.caissedesdepots.fr/explore/dataset/moncompteformation_catalogueformation/). The certifications and their text can be found at the same url, but are managed by France Compétences (https://www.francecompetences.fr/). The Formacodes and their links to domains or broad domains come from the Formacode ontology (https://www.centre-inffo.fr/offre-formation-produits-services/le-formacode-v14). All our data was extracted in May 2024 and are thus not up to date with those available currently on these platforms.
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