Datasets:

---

artaquest

/

aq-datasets

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
table: string
challenge_id: string
work_id: string
kind: string
author_id: string
fee: string
hearts: string
created: string
id: string
season_key: string
revenue: string
carried: string
entry_count: string
thread_id: string
status: string
slug: string
title: string
brief: string
owner_uid: string
user_id: string
pub: string
fp: string
chat_id: string
sender_id: string
akid: string
bkid: string
iv: string
ct: string
blob: string
a_uid: string
b_uid: string
last_id: string
last_at: string
a_read: string
b_read: string
ttl: string
delta: string
reason: string
ref: string
body: string
lang: string
vote_score: string
parent_id: string
context_type: string
context_id: string
course_id: string
votes: string
reply_count: string
fear: string
flagged: string
edited: string
appealed: string
anchor: string
modq: string
submission_id: string
round: string
reviewer: string
verdict: string
score: string
report: string
code_url: string
doi: string
record_url: string
animation_id: string
video_url: string
poster: string
seconds: string
updated: string
nb_id: string
item: string
val: string
season: string
pool: string
state: string
results: null
settled_at: string
run_id: string
iter: string
model: string
sig: string
scores: string
type: string
iters: string
iters_done: string
claim: string
cost: string
error: string
claimed_at: string
abstract: string
ipynb: string
ipynb_out: string
out_sig: string
assets: string
thumb: string
size_bytes: string
colab_url: string
view_count: string
published_at: string
comments: string
url: string
read: string
reproduced: string
effort: string
runtime_s: string
track: string
repost_id: string
reposts: string
description: string
meta: string
ring: string
mode: string
rated: string
p1: string
p2: string
p1_score: string
p2_score: string
p1_move: string
p2_move: string
rounds: string
winner: string
delta1: string
delta2: string
last_move: string
clock1: string
clock2: string
clock_ts: string
start_ts: string
label: string
closed: string
data_url: string
paper_url: string
consent: string
notebook: string
pdf_url: string
body_html: string
charts: string
template_ok: string
journal: string
dataset_id: string
model_id: string
thumb_url: string
topic: string
comment_count: string
source_hash: string
engine: string
candidate: string
critique: string
source_text: string
translated_text: string
context: string
updated_at: timestamp[s]
quality: string
priority: string
demand: string
read_at: string
target_type: string
target_id: string
to
{'table': Value('string'), 'id': Value('string'), 'user_id': Value('string'), 'delta': Value('string'), 'reason': Value('string'), 'ref': Value('string'), 'created': Value('string'), 'kind': Value('string'), 'season': Value('string'), 'pool': Value('string'), 'state': Value('string'), 'results': Value('null'), 'settled_at': Value('string'), 'nb_id': Value('string'), 'run_id': Value('string'), 'iter': Value('string'), 'score': Value('string'), 'verdict': Value('string'), 'report': Value('string'), 'model': Value('string'), 'sig': Value('string'), 'author_id': Value('string'), 'type': Value('string'), 'iters': Value('string'), 'iters_done': Value('string'), 'claim': Value('string'), 'cost': Value('string'), 'error': Value('string'), 'updated': Value('string'), 'claimed_at': Value('string'), 'slug': Value('string'), 'title': Value('string'), 'abstract': Value('string'), 'ipynb': Value('string'), 'ipynb_out': Value('string'), 'out_sig': Value('string'), 'assets': Value('string'), 'thumb': Value('string'), 'size_bytes': Value('string'), 'status': Value('string'), 'hearts': Value('string'), 'doi': Value('string'), 'record_url': Value('string'), 'colab_url': Value('string'), 'view_count': Value('string'), 'published_at': Value('string'), 'body': Value('string'), 'url': Value('string'), 'read': Value('string'), 'track': Value('string'), 'source_hash': Value('string'), 'lang': Value('string'), 'round': Value('string'), 'engine': Value('string'), 'candidate': Value('string'), 'critique': Value('string'), 'source_text': Value('string'), 'translated_text': Value('string'), 'context': Value('string'), 'updated_at': Value('timestamp[s]'), 'quality': Value('string'), 'priority': Value('string'), 'demand': Value('string'), 'read_at': Value('string'), 'target_type': Value('string'), 'target_id': Value('string'), 'val': Value('string'), 'course_id': Value('string'), 'context_id': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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 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
              table: string
              challenge_id: string
              work_id: string
              kind: string
              author_id: string
              fee: string
              hearts: string
              created: string
              id: string
              season_key: string
              revenue: string
              carried: string
              entry_count: string
              thread_id: string
              status: string
              slug: string
              title: string
              brief: string
              owner_uid: string
              user_id: string
              pub: string
              fp: string
              chat_id: string
              sender_id: string
              akid: string
              bkid: string
              iv: string
              ct: string
              blob: string
              a_uid: string
              b_uid: string
              last_id: string
              last_at: string
              a_read: string
              b_read: string
              ttl: string
              delta: string
              reason: string
              ref: string
              body: string
              lang: string
              vote_score: string
              parent_id: string
              context_type: string
              context_id: string
              course_id: string
              votes: string
              reply_count: string
              fear: string
              flagged: string
              edited: string
              appealed: string
              anchor: string
              modq: string
              submission_id: string
              round: string
              reviewer: string
              verdict: string
              score: string
              report: string
              code_url: string
              doi: string
              record_url: string
              animation_id: string
              video_url: string
              poster: string
              seconds: string
              updated: string
              nb_id: string
              item: string
              val: string
              season: string
              pool: string
              state: string
              results: null
              settled_at: string
              run_id: string
              iter: string
              model: string
              sig: string
              scores: string
              type: string
              iters: string
              iters_done: string
              claim: string
              cost: string
              error: string
              claimed_at: string
              abstract: string
              ipynb: string
              ipynb_out: string
              out_sig: string
              assets: string
              thumb: string
              size_bytes: string
              colab_url: string
              view_count: string
              published_at: string
              comments: string
              url: string
              read: string
              reproduced: string
              effort: string
              runtime_s: string
              track: string
              repost_id: string
              reposts: string
              description: string
              meta: string
              ring: string
              mode: string
              rated: string
              p1: string
              p2: string
              p1_score: string
              p2_score: string
              p1_move: string
              p2_move: string
              rounds: string
              winner: string
              delta1: string
              delta2: string
              last_move: string
              clock1: string
              clock2: string
              clock_ts: string
              start_ts: string
              label: string
              closed: string
              data_url: string
              paper_url: string
              consent: string
              notebook: string
              pdf_url: string
              body_html: string
              charts: string
              template_ok: string
              journal: string
              dataset_id: string
              model_id: string
              thumb_url: string
              topic: string
              comment_count: string
              source_hash: string
              engine: string
              candidate: string
              critique: string
              source_text: string
              translated_text: string
              context: string
              updated_at: timestamp[s]
              quality: string
              priority: string
              demand: string
              read_at: string
              target_type: string
              target_id: string
              to
              {'table': Value('string'), 'id': Value('string'), 'user_id': Value('string'), 'delta': Value('string'), 'reason': Value('string'), 'ref': Value('string'), 'created': Value('string'), 'kind': Value('string'), 'season': Value('string'), 'pool': Value('string'), 'state': Value('string'), 'results': Value('null'), 'settled_at': Value('string'), 'nb_id': Value('string'), 'run_id': Value('string'), 'iter': Value('string'), 'score': Value('string'), 'verdict': Value('string'), 'report': Value('string'), 'model': Value('string'), 'sig': Value('string'), 'author_id': Value('string'), 'type': Value('string'), 'iters': Value('string'), 'iters_done': Value('string'), 'claim': Value('string'), 'cost': Value('string'), 'error': Value('string'), 'updated': Value('string'), 'claimed_at': Value('string'), 'slug': Value('string'), 'title': Value('string'), 'abstract': Value('string'), 'ipynb': Value('string'), 'ipynb_out': Value('string'), 'out_sig': Value('string'), 'assets': Value('string'), 'thumb': Value('string'), 'size_bytes': Value('string'), 'status': Value('string'), 'hearts': Value('string'), 'doi': Value('string'), 'record_url': Value('string'), 'colab_url': Value('string'), 'view_count': Value('string'), 'published_at': Value('string'), 'body': Value('string'), 'url': Value('string'), 'read': Value('string'), 'track': Value('string'), 'source_hash': Value('string'), 'lang': Value('string'), 'round': Value('string'), 'engine': Value('string'), 'candidate': Value('string'), 'critique': Value('string'), 'source_text': Value('string'), 'translated_text': Value('string'), 'context': Value('string'), 'updated_at': Value('timestamp[s]'), 'quality': Value('string'), 'priority': Value('string'), 'demand': Value('string'), 'read_at': Value('string'), 'target_type': Value('string'), 'target_id': Value('string'), 'val': Value('string'), 'course_id': Value('string'), 'context_id': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset