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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 3 new columns ({'input', 'output', 'intent'}) and 5 missing columns ({'normalized', 'amazigh', 'en', 'ar', 'fr'}).

This happened while the json dataset builder was generating data using

hf://datasets/mohamedazelmad/awal_gpt_corpus/qa.json (at revision 1791ced85e5d9778056c40831b5251d90893348f), [/tmp/hf-datasets-cache/medium/datasets/33282240051214-config-parquet-and-info-mohamedazelmad-awal_gpt_c-4ec49e90/hub/datasets--mohamedazelmad--awal_gpt_corpus/snapshots/1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json (origin=hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json), /tmp/hf-datasets-cache/medium/datasets/33282240051214-config-parquet-and-info-mohamedazelmad-awal_gpt_c-4ec49e90/hub/datasets--mohamedazelmad--awal_gpt_corpus/snapshots/1791ced85e5d9778056c40831b5251d90893348f/qa.json (origin=hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/qa.json)], ['hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json', 'hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/qa.json']

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/python3.12/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              input: string
              output: string
              intent: string
              to
              {'amazigh': Value('string'), 'normalized': Value('string'), 'fr': Value('string'), 'ar': Value('string'), 'en': 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 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 890, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 951, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 3 new columns ({'input', 'output', 'intent'}) and 5 missing columns ({'normalized', 'amazigh', 'en', 'ar', 'fr'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/mohamedazelmad/awal_gpt_corpus/qa.json (at revision 1791ced85e5d9778056c40831b5251d90893348f), [/tmp/hf-datasets-cache/medium/datasets/33282240051214-config-parquet-and-info-mohamedazelmad-awal_gpt_c-4ec49e90/hub/datasets--mohamedazelmad--awal_gpt_corpus/snapshots/1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json (origin=hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json), /tmp/hf-datasets-cache/medium/datasets/33282240051214-config-parquet-and-info-mohamedazelmad-awal_gpt_c-4ec49e90/hub/datasets--mohamedazelmad--awal_gpt_corpus/snapshots/1791ced85e5d9778056c40831b5251d90893348f/qa.json (origin=hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/qa.json)], ['hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/dictionaire.json', 'hf://datasets/mohamedazelmad/awal_gpt_corpus@1791ced85e5d9778056c40831b5251d90893348f/qa.json']
              
              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.

amazigh
string
normalized
string
fr
string
ar
string
en
string
azul
azul
bonjour / salut
مرحباً / أهلاً
hello / hi
tanmmirt
tanmmirt
merci
شكراً
thank you
bslama
bslama
au revoir
مع السلامة
goodbye
la bas
la bas
ça va / bien
بخير
fine / okay
mani tgid
mani tgid
comment vas-tu
كيف حالك
how are you
lah iawn
laḥ iawn
que Dieu t'aide
الله يعاونك
God help you
yak
yak
n'est-ce pas / oui
أليس كذلك / نعم
right / yes
ih
ih
oui
نعم
yes
lla
lla
non
لا
no
wah
wah
oui (confirmé)
نعم بالتأكيد
yes (confirmed)
righ
riɣ
je veux / j'aime
أريد / أحب
I want / I love
qqim
qqim
reste / assis-toi
اجلس / ابق
sit / stay
aws
aws
aide / donne
ساعد / أعطِ
help / give
nkcem
nkcem
entrer
يدخل
to enter
afeg
afeg
voler / s'envoler
يطير
to fly
isw
isw
boire
يشرب
to drink
etch
etç
manger
يأكل
to eat
afegh
afɣ
sortir
يخرج
to go out
kker
kker
se lever / se réveiller
يقوم / يستيقظ
to get up / wake up
ddu
ddu
aller / partir
يذهب
to go
as
as
venir
يأتي
to come
ari
ari
écrire
يكتب
to write
issin
issin
savoir / connaître
يعرف
to know
zri
zri
voir / passer
يرى / يمر
to see / pass
siwel
siwel
appeler / parler
يتصل / يتكلم
to call / speak
akis9sagh
akisqsaɣ
je lui demande
أسأله
I ask him
ghif
ɣif
sur / à propos de
على / عن
about / on
ili
ili
être / exister
يكون / يوجد
to be / exist
bdu
bdu
commencer
يبدأ
to begin
kemmil
kemmil
finir / terminer
ينهي / يكمل
to finish
lmd
lmd
apprendre / étudier
يتعلم / يدرس
to learn / study
sselmad
sselmad
enseigner
يعلّم
to teach
fhem
fhem
comprendre
يفهم
to understand
ur fhim
ur fhim
je ne comprends pas
لا أفهم
I do not understand
xdem
xdem
travailler
يعمل
to work
ini
ini
dire
يقول
to say
sqi9sa
sqiqa
poser une question
يسأل
to ask
jerred
jerred
essayer / tenter
يحاول
to try
snulfu
snulfu
créer / inventer
يخترع / يصنع
to create / invent
nadi
nadi
chercher
يبحث
to search
af
af
trouver
يجد
to find
ger
ger
lire
يقرأ
to read
sefru
sefru
expliquer / résoudre
يشرح / يحل
to explain / solve
sggez
sggez
enregistrer / sauvegarder
يحفظ / يسجل
to save / record
kkes
kkes
supprimer / enlever
يحذف / يزيل
to delete / remove
beddel
beddel
changer / modifier
يغير / يعدّل
to change / modify
senned
senned
appuyer / cliquer
يضغط / ينقر
to press / click
ffer
ffer
cacher / masquer
يخفي
to hide
ban
ban
apparaître / s'afficher
يظهر
to appear / display
aru
aru
écrire (impératif)
اكتب
write (imperative)
siwe9
siwɛq
envoyer
يرسل
to send
ttwassiwe9
ttwassiwɛq
être envoyé / reçu
يُستقبل / يُرسَل
to be sent / received
ales
ales
répéter / retourner
يكرر / يعود
to repeat / return
sddu
sddu
faire avancer / exécuter
ينفّذ / يشغّل
to run / execute
ssfld
ssfld
télécharger / installer
يحمّل / يثبّت
to download / install
ttxil
ttxil
s'il te plaît
من فضلك
please
smun
smun
rassembler / fusionner
يجمع / يدمج
to gather / merge
fren
fren
choisir / sélectionner
يختار / يحدد
to choose / select
frez
frez
trier / filtrer
يفرز / يصفّي
to sort / filter
sidef
sidef
insérer / introduire
يدخل / يُدرج
to insert
sweḍ
sweḍ
atteindre / arriver à
يصل إلى
to reach
ger
ger
entre (préposition)
بين
between
maydiyan
maydiyan
quelles sont / qu'est-ce que
ما هي / ماذا
what are / which
mani
mani
أين
where
acu
acu
quoi / qu'est-ce que
ماذا / ما
what
fin
fin
où (direction)
إلى أين
where to
achal
achal
combien
كم
how much / how many
melmi
melmi
quand
متى
when
amek
amek
comment
كيف
how
ma
ma
que / quoi
ما / ماذا
what
wi
wi
qui (masc.)
من (مذكر)
who (masc.)
tit
tit
qui (fém.)
من (مؤنث)
who (fem.)
mamec
mamec
comment / de quelle façon
كيف / بأي طريقة
how / in what way
matta
matta
lequel / laquelle
أيّ / أيّة
which one
n
n
de / du (génitif)
من / خاص بـ
of / from (genitive)
d
d
avec / et / c'est
مع / و / هو
with / and / it is
i
i
à / pour (datif)
لـ / إلى
to / for (dative)
s
s
avec / par (instrumental)
بـ / مع
with / by
ar
ar
jusqu'à / encore
حتى / لا يزال
until / still
ur
ur
ne...pas (négation)
لا / لم (نفي)
not (negation)
ad
ad
futur / va (particule)
سـ (المستقبل)
will (future marker)
ay
ay
particule vocative / relatif
أداة نداء / موصول
hey / which (relative)
f
f
sur / à cause de
بسبب / على
because of / on
akal
akal
terre / sol
أرض / تراب
earth / ground
aman
aman
eau
ماء
water
tafukt
tafukt
soleil
شمس
sun
adrar
adrar
montagne
جبل
mountain
tizi
tizi
col de montagne / passage
مضيق / ممر جبلي
mountain pass
agadir
agadir
grenier fortifié
مخزن محصّن
fortified granary
ighil
iɣil
bras / branche
ذراع / فرع
arm / branch
aguns
aguns
lac / mare
بحيرة / غدير
lake / pond
tala
tala
source d'eau / fontaine
ينبوع / نافورة
water spring / fountain
ighzer
iɣzer
rivière / oued
نهر / وادي
river / wadi
tizi n test
tizi n test
col de Tichka
ممر تيشكا
Tichka pass
anrar
anrar
aire de battage / cour
بيدر / ساحة
threshing floor / courtyard
aghil
aɣil
enclos / bergerie
حظيرة / زريبة
enclosure / sheepfold
tawnat
tawnat
boutique / magasin
دكان / محل
shop / store
abrid
abrid
chemin / route
طريق / مسار
road / path
taddart
taddart
village / maison
قرية / بيت
village / house
ighrem
iɣrem
ville fortifiée / ksar
مدينة محصّنة / قصر
fortified town / ksar
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