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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: ' None' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2247, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2103, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1798, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: ' None' as a scalar of type double
              
              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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1898, 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

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question
string
flesch_score
float64
{head} is the child of
117.16
Who sired {head}?
119.19
Who gave birth to {head}?
117.16
{head} was brought into the world by whom?
105.66
To whom can the lineage of {head} be traced back?
95.17
{head} is the offspring of which couple?
89.75
Who does {head} owe their existence to in terms of parentage?
77.23
In the intricate web of human lineage and genetics, who are the progenitors of {head}?
47.79
Who are the two entities, in the grand scheme of human genetic complexity, that contributed to the creation and existence of {head}?
40.69
Who engendered {head} into existence?
32.56
"{head}是谁的孩子"。请记住,不要翻译"head"这个词。
null
"谁是{head}的父亲?"
null
"是谁生了{head}?"
null
"{head}是由谁带入这个世界的?"
null
"{head}的血统可以追溯到哪个人?"
null
"{head}是哪对夫妇的后代?"
null
"{head}的存在是归功于谁的父母?"
null
在复杂的人类血统和遗传网络中,谁是{head}的始祖?
null
"在人类基因复杂性的宏观框架中,是哪两个实体为{head}的创造和存在做出了贡献?" 请记住不要翻译“head”这个词。
null
"是谁使{head}存在的?"
null
"{head} ist das Kind von".
null
"Wer hat {head} gezeugt?"
null
"Wer hat {head} zur Welt gebracht?"
null
"{head} wurde von wem auf die Welt gebracht?"
null
"Zu wem kann die Abstammung von {head} zurückverfolgt werden?"
null
"{head} ist der Nachkomme welches Paares?"
null
"Wem verdankt {head} seine Existenz hinsichtlich der Abstammung?"
null
"In dem komplexen Netz der menschlichen Abstammung und Genetik, wer sind die Vorfahren von {head}?"
null
"Wer sind die beiden Einheiten, im großen Gefüge der menschlichen genetischen Komplexität, die zur Schöpfung und Existenz von {head} beigetragen haben?"
null
"Wer hat {head} ins Dasein gebracht?"
null
"{head}は誰の子供ですか。"
null
"{head}の父親は誰ですか?"
null
"{head}は誰が生んだのですか?"
null
"{head}は誰によってこの世にもたらされましたか?"
null
"{head}の系統は誰に遡ることができますか?"
null
"{head}はどのカップルの子供ですか?"
null
"親としての存在に誰のおかげで{head}は存在しているのですか?"
null
"人間の血統と遺伝の複雑なウェブの中で、{head}の祖先は誰ですか?"
null
「人類の遺伝的複雑さの大枠において、{head}の創造と存在に貢献した2つのエンティティは誰ですか?」
null
"{head}は誰が存在するように生み出しましたか?"
null
"{head} es el hijo de". Recuerda no traducir la palabra head.
null
"¿Quién engendró {head}?"
null
"¿Quién dio a luz a {head}?"
null
"{head} fue traído al mundo por ¿quién?"
null
"¿A quién se puede rastrear el linaje de {head}?"
null
"{head} es descendiente de qué pareja?"
null
"¿A quién le debe {head} su existencia en términos de parentesco?"
null
"En la intrincada red de linaje y genética humana, ¿quiénes son los progenitores de {head}?"
null
"¿Quiénes son las dos entidades, en el gran esquema de la complejidad genética humana, que contribuyeron a la creación y existencia de {head}?"
null
"¿Quién engendró {head} a la existencia?"
null
{head} has how many employees after 2023 September?
50.665
What is the magnitude of the labor force at {head} post-September of the year 2023?
78.81
Post the month of September in 2023 what constitutes the count of {head}'s workforce?
77.810714
Upon crossing September in 2023 what's the total personnel count at {head}?
60.705
After the passage of September in the Gregorian year 2023 what quantifies the census of {head}'s workforce?
50.238824
What's the statistical representation of the human resource pool at {head} in the aftermath of the September of 2023?
45.065789
The number of individuals in {head}'s employ post-September 2023 would be what exactly?
43.963077
In the aftermath of September 2023 how many individuals are employed by {head}?
43.963077
What is the numerical representation of {head}'s workforce in the epoch succeeding September 2023?
29.467857
After traversing the temporal milestone of September 2023 what's the numerical manifestation of {head}'s employee strength?
16.1075
The genre of {head} is
100.24
{head} is a work of which genre?
106.67
In the constellation of genres, in which star does {head} shine?
77.23
To which genre does the literary piece {head} subscribe to?
69.79
In the literary genre spectrum, where does {head} fit in?
69.79
Within the various genres, to which does {head} pertain?
62.34
What is the category of genre that {head} is a constituent of?
59.3
What is the specific genre that encapsulates {head}?
46.44
In the expansive milieu of genres, where is {head} predominantly discerned?
43.39
What genre classification is bestowed upon {head}?
30.53
{head} was nominated for what after 2023 September?
50.665
Post the termination of the ninth calendar month in 2023 what distinguished honorific was {head} put forth as a candidate for?
52.577143
In the aftermath of September's conclusion in the year 2023 for which esteemed honor was {head} considered a worthy contender?
46.945
What nomination did {head} receive post-September 2023?
42.615714
Subsequent to the completion of the ninth period in the annual cycle of the year 2023 for which prestigious accolade was {head} put forth for consideration?
40.529615
Following the culmination of the ninth sequential month of 2023 for what prestigious honor was {head} proposed as a potential recipient?
36.462857
What significant commendation was {head} recommended for subsequent to the conclusion of the ninth calendar month of 2023?
33.465
Upon the conclusion of September 2023 for what recognition was {head} nominated?
32.505
Upon the termination of September in the year twenty twenty-three for which notable honorific was {head} identified as a likely contender?
24.377143
For what laudable recognition was {head} suggested as a prospective recipient following the cessation of September 2023?
15.403529
{head} is educated at
100.24
{head} was schooled at where?
null
Where is the institution that fostered the educational growth of {head}?
None
What was the establishment where {head} received their education?
None
Which establishment holds the honor of having been the institution that imparted education to {head}?
None
What institution played a pivotal role in the academic edification of {head}
None
In which educational establishment did {head} study?
None
What institution holds the distinction of being the sanctuary of knowledge that contributed to the pedagogical advancement of {head}?
None
What educational establishment served as the crucible for {head}'s academic development?
None
What institution provided {head}'s education?
None
"{head}在哪里接受教育的"
null
"{head}在哪里上学的?"
null
"是哪个机构促进了{head}的教育成长?"
null
"{head}在哪个机构接受了他们的教育?"
null
"哪个机构有荣誉是向{head}提供教育的机构?"
null
"什么机构在{head}的学术教育中起到了关键作用?"
null
"{head}在哪个教育机构学习过?"
null
"什么机构有着被誉为对{head}的教育进步做出贡献的知识圣殿的荣誉?"
null
"{head}的学术发展是在哪个教育机构中磨炼形成的?"
null
"{head}的教育是由哪个机构提供的?"
null
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