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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 ({'tokens', 'text'}) and 6 missing columns ({'__index_level_0__', 'Unnamed: 2', 'Unnamed: 1', 'Unnamed: 3', 'Unnamed: 4', '#Text=Ou nom de Dieu misericord.'}).
This happened while the csv dataset builder was generating data using
hf://datasets/HaDW-ALMA/ALMeD/GuiChaulm_1-2_hf.tsv (at revision b9812346916680cd6db36ece675d2bf9917a0704), ['hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/GuiChaulm_1-1_gold.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/GuiChaulm_1-2_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/Guichaulm_1-1_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/Guichaulm_1-3_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/LettrHippocH_gold_hf.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
text: string
tokens: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 498
to
{'#Text=Ou nom de Dieu misericord.': Value('string'), 'Unnamed: 1': Value('string'), 'Unnamed: 2': Value('string'), 'Unnamed: 3': Value('string'), 'Unnamed: 4': Value('string'), '__index_level_0__': 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 ({'tokens', 'text'}) and 6 missing columns ({'__index_level_0__', 'Unnamed: 2', 'Unnamed: 1', 'Unnamed: 3', 'Unnamed: 4', '#Text=Ou nom de Dieu misericord.'}).
This happened while the csv dataset builder was generating data using
hf://datasets/HaDW-ALMA/ALMeD/GuiChaulm_1-2_hf.tsv (at revision b9812346916680cd6db36ece675d2bf9917a0704), ['hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/GuiChaulm_1-1_gold.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/GuiChaulm_1-2_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/Guichaulm_1-1_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/Guichaulm_1-3_hf.tsv', 'hf://datasets/HaDW-ALMA/ALMeD@b9812346916680cd6db36ece675d2bf9917a0704/LettrHippocH_gold_hf.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.
#Text=Ou nom de Dieu misericord. string | Unnamed: 1 string | Unnamed: 2 string | Unnamed: 3 string | Unnamed: 4 string | __index_level_0__ string |
|---|---|---|---|---|---|
0-2 | Ou | PRE.DETdef | ADP | a3 + le | 1-1 |
3-6 | nom | NOMcom | NOUN | nom | 1-2 |
7-9 | de | PRE | ADP | de | 1-3 |
10-14 | Dieu | NOMpro | NOUN | dieu | 1-4 |
15-25 | misericord | ADJqua | ADJ | misericort | 1-5 |
25-26 | . | PONfrt | PUNCT | null | 1-6 |
null | null | null | null | null | null |
null | null | null | null | null | #Text=Cy commence le premier traictier de ceste oevre qui parle de l’anathomie et contient deux doctrines: la premiere doctrine parle de l’anathomie des membres communs, universelz et simples. |
27-29 | Cy | ADVgen | ADV | ci | 2-1 |
30-38 | commence | VERcjg | VERB | comencier | 2-2 |
39-41 | le | DETdef | DET | le | 2-3 |
42-49 | premier | ADJord | ADJ | premier | 2-4 |
50-59 | traictier | NOMcom | NOUN | traitier2 | 2-5 |
60-62 | de | PRE | ADP | de | 2-6 |
63-68 | ceste | DETdem | DET | cest | 2-7 |
69-74 | oevre | NOMcom | NOUN | uevre | 2-8 |
75-78 | qui | PROrel | PRON | qui | 2-9 |
79-84 | parle | VERcjg | VERB | parler | 2-10 |
85-87 | de | PRE | ADP | de | 2-11 |
88-89 | l | DETdef | DET | le | 2-12 |
89-90 | ’ | PONpxx | PUNCT | null | 2-13 |
90-99 | anathomie | NOMcom | NOUN | anatomie | 2-14 |
100-102 | et | CONcoo | CCONJ | et | 2-15 |
103-111 | contient | VERcjg | VERB | contenir | 2-16 |
112-116 | deux | ADJcar | ADJ | deus | 2-17 |
117-126 | doctrines | NOMcom | NOUN | doctrine | 2-18 |
126-127 | : | PONfbl | PUNCT | null | 2-19 |
128-130 | la | DETdef | DET | le | 2-20 |
131-139 | premiere | ADJord | ADJ | premier | 2-21 |
140-148 | doctrine | NOMcom | NOUN | doctrine | 2-22 |
149-154 | parle | VERcjg | VERB | parler | 2-23 |
155-157 | de | PRE | ADP | de | 2-24 |
158-159 | l | DETdef | DET | le | 2-25 |
159-160 | ’ | PONpxx | PUNCT | null | 2-26 |
160-169 | anathomie | NOMcom | NOUN | anatomie | 2-27 |
170-173 | des | PRE.DETdef | ADP | de + les | 2-28 |
174-181 | membres | NOMcom | NOUN | membre | 2-29 |
182-189 | communs | ADJqua | ADJ | comun | 2-30 |
189-190 | , | PONfbl | PUNCT | null | 2-31 |
191-201 | universelz | ADJqua | ADJ | universel | 2-32 |
202-204 | et | CONcoo | CCONJ | et | 2-33 |
205-212 | simples | ADJqua | ADJ | simple | 2-34 |
212-213 | . | PONfrt | PUNCT | null | 2-35 |
null | null | null | null | null | null |
null | null | null | null | null | #Text=La seconde sera des membres propres, particuliers et compost. |
214-216 | La | DETdef | DET | le | 3-1 |
217-224 | seconde | PROord | PRON | second | 3-2 |
225-229 | sera | VERcjg | VERB | estre1 | 3-3 |
230-233 | des | PRE.DETdef | ADP | de + les | 3-4 |
234-241 | membres | NOMcom | NOUN | membre | 3-5 |
242-249 | propres | ADJqua | ADJ | propre | 3-6 |
249-250 | , | PONfbl | PUNCT | null | 3-7 |
251-263 | particuliers | ADJqua | ADJ | particulier | 3-8 |
264-266 | et | CONcoo | CCONJ | et | 3-9 |
267-274 | compost | VERppe | VERB | compondre | 3-10 |
274-275 | . | PONfrt | PUNCT | null | 3-11 |
null | null | null | null | null | null |
null | null | null | null | null | #Text=La premiere doctrine contient .v. chappitres: le premier, c’est ung chappitre universel qui parle de l’anathomie et de la nature des membres du corps. |
276-278 | La | DETdef | DET | le | 4-1 |
279-287 | premiere | ADJord | ADJ | premier | 4-2 |
288-296 | doctrine | NOMcom | NOUN | doctrine | 4-3 |
297-305 | contient | VERcjg | VERB | contenir | 4-4 |
306-307 | . | PONfrt | PUNCT | null | 4-5 |
307-308 | v | ADJord | NUM | cinc | 4-6 |
308-309 | . | PONfrt | PUNCT | null | 4-7 |
310-320 | chappitres | NOMcom | NOUN | chapitre | 4-8 |
320-321 | : | PONfbl | PUNCT | null | 4-9 |
322-324 | le | DETdef | DET | le | 4-10 |
325-332 | premier | ADJord | ADJ | premier | 4-11 |
332-333 | , | PONfbl | PUNCT | null | 4-12 |
334-335 | c | PROdem | PRON | ce | 4-13 |
335-336 | ’ | PONpxx | PUNCT | null | 4-14 |
336-339 | est | VERcjg | VERB | estre1 | 4-15 |
340-343 | ung | DETind | DET | un | 4-16 |
344-353 | chappitre | NOMcom | NOUN | chapitre | 4-17 |
354-363 | universel | ADJqua | ADJ | universel | 4-18 |
364-367 | qui | PROrel | PRON | qui | 4-19 |
368-373 | parle | VERcjg | VERB | parler | 4-20 |
374-376 | de | PRE | ADP | de | 4-21 |
377-378 | l | DETdef | DET | le | 4-22 |
378-379 | ’ | PONpxx | PUNCT | null | 4-23 |
379-388 | anathomie | NOMcom | NOUN | anatomie | 4-24 |
389-391 | et | CONcoo | CCONJ | et | 4-25 |
392-394 | de | PRE | ADP | de | 4-26 |
395-397 | la | DETdef | DET | le | 4-27 |
398-404 | nature | NOMcom | NOUN | nature | 4-28 |
405-408 | des | PRE.DETdef | ADJ | de + les | 4-29 |
409-416 | membres | NOMcom | NOUN | membre | 4-30 |
417-419 | du | PRE | ADP | de + le | 4-31 |
420-425 | corps | NOMcom | NOUN | cors1 | 4-32 |
425-426 | . | PONfrt | PUNCT | null | 4-33 |
null | null | null | null | null | null |
null | null | null | null | null | #Text=POUR CE QUE, selon Galien, lumiere des medicins, ou .xvij.ᵉ livre qui se intitule ‘De utilité des parties’, ou penultime chappitre, y sont quatre utilités de la science de anathomie: l’une, qui est la tres grande, pour amiracion de la puissance de Dieu; la seconde, pour cognoistre les parties des paciens; la tier... |
428-432 | POUR | PRE | ADJ | por2 | 5-1 |
433-435 | CE | PROrel | PRON | ce | 5-2 |
436-439 | QUE | PROrel | PRON | que4 | 5-3 |
439-440 | , | PONfbl | PUNCT | null | 5-4 |
441-446 | selon | PRE | ADJ | selonc | 5-5 |
447-453 | Galien | NOMpro | NOUN | null | 5-6 |
453-454 | , | PONfbl | PUNCT | null | 5-7 |
End of preview.
ALMeD: A domAin-specific goLd-standard for MeDieval French
ALMeD is a gold-standard corpus of medieval medical and surgical texts produced in Medieval French, designed for linguistic analysis and NLP applications. 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). You can read more at https://alma.hadw-bw.de/tools/almed.
ALMeD has been annotated for:
- UPOS and XPOS (CATTEX)
- Lemma (including main lemma) from the Dictionnaire de l'ancien Français (DEAF) and where necessary, from the Tobler-Lommatzsch: Altfranzösisches Wörterbuch and the Französisches Etymologisches Wörterbuch (FEW).
Dictionary definitions in modern French and modern English will be added at a later point.
ALMeD is a work-in-progress!
Texts available (so far):
- The first treatise (on anatomy) of the Grande Chirurgie by Gui de Chauliac (in Middle French, edition by Sabine Tittel) - in progress
- Lettre d’Hippocrate à César, (Anglo-Norman scripta, edition by Tony Hunt) - completed
Scripts related to the ALMeD pipeline can be found on our GitLab at: https://gitlab.hadw-bw.de/alma/alma/-/tree/develop/text_factory/python
Questions? Please contact Ragini Menon at ragini.menon@hadw-bw.de
Contributors
ALMA:
Ragini Menon, Sabine Tittel, Gloria de Meleghy, Valentin Jablonowski, Leo Reitmaier, Sara Aakrout, Gustavo Campedelli (Heidelberg)
Matthias Schöffel (Munich)
Much-Needed Supporters:
ALMA: Maria Selig (Regensburg), Gergely Pethő (Debrecen/Regensburg), Yasmine Posillipo (Saarbrücken)
HCDH: Jonathan Gaede (Heidelberg)
Our Happy Helpers:
Hao Nguyen Ngoc Nhu, Andrea Hönig, Mohammed Çopuroglu, Fatih Sevinç, Hoda Rai, Fatine Bouchbouch, Rija Aziz, Agnese Ughetti, Reshma Verghese, Alfred Bentum, Amine Boudchich, Büsra Koç, Umid Maharramli, Mohammed Frikel (TU Darmstadt)
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