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HaDW-ALMA
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DEAF4NLP

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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 2 new columns ({'xpos', 'p.p. et adj.'})

This happened while the csv dataset builder was generating data using

hf://datasets/HaDW-ALMA/DEAF4NLP/deafdatadump_upos_wip.tsv (at revision 98b7104fa8f78f8e3d6a3e03259fda7be3a67b22), ['hf://datasets/HaDW-ALMA/DEAF4NLP@98b7104fa8f78f8e3d6a3e03259fda7be3a67b22/deaf4nlp_v4.tsv', 'hf://datasets/HaDW-ALMA/DEAF4NLP@98b7104fa8f78f8e3d6a3e03259fda7be3a67b22/deafdatadump_upos_wip.tsv']

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
              mainlemma: string
              lemma: string
              form: string
              upos: string
              definition: string
              xpos: string
              p.p. et adj.: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1077
              to
              {'mainlemma': Value('string'), 'lemma': Value('string'), 'form': Value('string'), 'upos': Value('string'), 'definition': Value('string')}
              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 2 new columns ({'xpos', 'p.p. et adj.'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/HaDW-ALMA/DEAF4NLP/deafdatadump_upos_wip.tsv (at revision 98b7104fa8f78f8e3d6a3e03259fda7be3a67b22), ['hf://datasets/HaDW-ALMA/DEAF4NLP@98b7104fa8f78f8e3d6a3e03259fda7be3a67b22/deaf4nlp_v4.tsv', 'hf://datasets/HaDW-ALMA/DEAF4NLP@98b7104fa8f78f8e3d6a3e03259fda7be3a67b22/deafdatadump_upos_wip.tsv']
              
              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.

mainlemma
string
lemma
string
form
string
upos
string
definition
string
a1
a1
a
VERB
lettre a
a1
a1
a
ADJ
lettre a
a2
a2
a
VERB
hélas
a2
a2
a
VERB
interjection indiquant qu'on va exprimer quelque émotion vive de l'âme (joie, tristesse, colère)
a2
a2
a
ADJ
interjection indiquant qu'on va exprimer quelque émotion vive de l'âme (joie, tristesse, colère)
a2
a2
a
VERB
interjection indiquant qu'on va exprimer quelque emotion vive de l'âme (joie, tristesse, colère)
a2
a2
a
ADJ
interjection indiquant qu'on va exprimer quelque emotion vive de l'âme (joie, tristesse, colère)
a2
a2
a
VERB
Espe Interj
a2
a2
a
VERB
ah! oh!
a2
a2
a
VERB
interj.
a2
a2
a
VERB
ach
a2
a2
a
VERB
interjection
a2
a2
a
VERB
ah!
a2
a2
a
VERB
ach!
a2
a2
a
ADJ
ach!
a2
a2
a
VERB
oh! ah!
a2
a2
a
ADJ
oh! ah!
a2
a2
a
VERB
ho, hai
a2
a2
a
ADJ
ho, hai
a2
a2
a
VERB
Klage, Entrüstung, Bewunderung, Billigung, Erstaunen
a2
a2
a
ADJ
Klage, Entrüstung, Bewunderung, Billigung, Erstaunen
a2
a2
a2
VERB
Klage, Entrüstung, Bewunderung, Billigung, Erstaunen
a2
a2
a2
ADJ
Klage, Entrüstung, Bewunderung, Billigung, Erstaunen
a2
a2
as
VERB
interjec.
a2
a2
as
ADJ
interjec.
a3
a3
a
VERB
c’est une définition
a3
a3
a
ADJ
c’est une définition
a3
a3
A
VERB
c’est une définition
a3
a3
A
ADJ
c’est une définition
a3
a3
a che que en
VERB
c’est une définition
a3
a3
a che que en
ADJ
c’est une définition
a3
a3
a cinq coutiches d'asur
VERB
c’est une définition
a3
a3
a cinq coutiches d'asur
ADJ
c’est une définition
a3
a3
a, préposition
VERB
c’est une définition
a3
a3
a, préposition
ADJ
c’est une définition
a3
a3
a3
ADP
c’est une définition
a3
a3
AD
VERB
c’est une définition
a3
a3
ad
VERB
c’est une définition
a3
a3
Ad
VERB
c’est une définition
a3
a3
ai
VERB
c’est une définition
a3
a3
alx
VERB
c’est une définition
a3
a3
am
VERB
c’est une définition
a3
a3
ans
VERB
c’est une définition
a3
a3
ao
VERB
c’est une définition
a3
a3
aou
VERB
c’est une définition
a3
a3
aou
ADJ
c’est une définition
a3
a3
as
VERB
c’est une définition
a3
a3
AS
VERB
c’est une définition
a3
a3
eux
VERB
c’est une définition
a3
a3
ob
VERB
c’est une définition
a3
a3
à
VERB
c’est une définition
aabir
aabir
aabir
VERB
s'efforcer, s'empresser
aachie
aachie
Aachie
VERB
tourment, angoisse
aachie
aachie
Aachie
ADJ
tourment, angoisse
aacier
aace
aace
VERB
pie
aacier
aacement
aaceement
VERB
agacement (des dents)
aacier
aacement
aaceement
ADJ
agacement (des dents)
aacier
aacement
aacement
VERB
agacement (des dents)
aacier
aacement
aacement
ADJ
agacement (des dents)
aacier
aacier
aachier
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aachier
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aachier, faire a. les dens
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aachier, faire a. les dens
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aacier
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aaciez
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aaciez
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
achier
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
achier
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aciés
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aciés
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aescier
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aescier
ADJ
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
Asiees
VERB
mettre du levain (dans le pain), agacer (les dents)
aacier
aacier
aäcier
VERB
mettre du levain (dans le pain), agacer (les dents)
aafinance
aafinance
aafinance
VERB
injure sanglante
aaignier
aaignier
aagner
VERB
contredire, contester avec chaleur, disputer
aaignier
aaignier
aagner
ADJ
contredire, contester avec chaleur, disputer
aaignier
aaignier
aaigner
VERB
contredire, contester avec chaleur, disputer
aaignier
aaignier
aaignier
VERB
contredire, contester avec chaleur, disputer
aaignier
aaignier
aeignier
VERB
contredire, contester avec chaleur, disputer
aaivier
aaivier
aaivier
VERB
planter (en parlant de vignes)
aaivier
aaivier
aaivier
ADJ
planter (en parlant de vignes)
aami
aami
etmi
VERB
aimé, excl
aami
aami
etmi
ADJ
aimé, excl
aapter
aapter
aapter
VERB
adapter, appliquer
aapter
aapter
aapter
ADJ
adapter, appliquer
aapter
aapter
Aapter
VERB
adapter, appliquer
aapter
aapter
Aapter
ADJ
adapter, appliquer
aapter
aapter
adapter
VERB
adapter, appliquer
aapter
aapter
adapter
ADJ
adapter, appliquer
aaron
aaron
aaron
VERB
gouet, pied -de- veau
aat
aat
aat
VERB
enjeu ?
aate
aate
aate
VERB
agile, habile, etc.
aate
aate
aates
VERB
agile, habile, etc.
aate
aate
aätes
VERB
agile, habile, etc.
aate
aate
erte
VERB
agile, habile, etc.
aatir
aatie
aaitie
VERB
provocation, défi; fait d'armes, lutte; etc.
aatir
aatie
aastie
VERB
provocation, défi; fait d'armes, lutte; etc.
aatir
aatie
aathie
VERB
provocation, défi; fait d'armes, lutte; etc.
aatir
aatie
aatie
VERB
provocation, défi; fait d'armes, lutte; etc.
End of preview.

DEAF4NLP: A comprehensive dictionary dataset for Medieval French

deaf

DEAF4NLP is a structured dataset created from the database of the Dictionnaire Étymologique de l'Ancien Français (DEAF). The dataset complements existing lexicographic datasets in Medieval French such as FROLEX. However, it excludes morphological information. DEAF4NLP includes the Main Lemma, lemma, POS (UPOS) and a definition of each form. If possible, we will also include the language-specific POS (XPOS), based on the CATTEX guidelines.

The dataset was developed within the framework of the Knowledge Networks in Medieval Romance-Speaking Europe (ALMA) project at the Heidelberg Academy of Sciences, which researches the development of knowledge networks and concepts in Medieval Romance languages (French, Occitan, Gascon and Italian). DEAF4NLP is a work-in-progress!

You can find the WIP version on the ALMA GitLab: https://gitlab.hadw-bw.de/alma/alma/-/tree/develop/text_factory/goldstandards/French/DEAF_datadump

Questions? Please contact Ragini Menon at ragini.menon@hadw-bw.de

Contributors:

Ragini Menon (ALMA), Sabine Tittel (ALMA/DEAF)
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