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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
Question: string
Answer Critical: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 17 chars omitted)
  child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 5 chars omitted)
      child 0, Ingredient: string
      child 1, Handle: string
      child 2, Specifics: list<item: struct<Text: string, Citation: string>>
          child 0, item: struct<Text: string, Citation: string>
              child 0, Text: string
              child 1, Citation: string
Valuable: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 32 chars omitted)
  child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 20 chars omitted)
      child 0, Ingredient: string
      child 1, Handle: string
      child 2, Specifics: list<item: struct<Text: string, Citation: string, <Text: string>>
          child 0, item: struct<Text: string, Citation: string, <Text: string>
              child 0, Text: string
              child 1, Citation: string
              child 2, <Text: string
Context: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 17 chars omitted)
  child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 5 chars omitted)
      child 0, Ingredient: string
      child 1, Handle: string
      child 2, Specifics: list<item: struct<Text: string, Citation: string>>
          child 0, item: struct<Text: string, Citation: string>
              child 0, Text: string
              child 1, Citation: string
snippets: list<item: struct<paperID: string, title: string, text: string, authors: list<item: string>>>
  child 0, item: struct<paperID: string, title: string, text: string, authors: list<item: string>>
      child 0, paperID: string
      child 1, title: string
      child 2, text: string
      child 3, authors: list<item: string>
          child 0, item: string
input_prompt: string
query: string
to
{'Question': Value('string'), 'Answer Critical': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'Valuable': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'Context': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'snippets': List({'paperID': Value('string'), 'title': Value('string'), 'text': Value('string'), 'authors': List(Value('string'))}), 'input_prompt': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Question: string
              Answer Critical: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 17 chars omitted)
                child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 5 chars omitted)
                    child 0, Ingredient: string
                    child 1, Handle: string
                    child 2, Specifics: list<item: struct<Text: string, Citation: string>>
                        child 0, item: struct<Text: string, Citation: string>
                            child 0, Text: string
                            child 1, Citation: string
              Valuable: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 32 chars omitted)
                child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 20 chars omitted)
                    child 0, Ingredient: string
                    child 1, Handle: string
                    child 2, Specifics: list<item: struct<Text: string, Citation: string, <Text: string>>
                        child 0, item: struct<Text: string, Citation: string, <Text: string>
                            child 0, Text: string
                            child 1, Citation: string
                            child 2, <Text: string
              Context: list<item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Cit (... 17 chars omitted)
                child 0, item: struct<Ingredient: string, Handle: string, Specifics: list<item: struct<Text: string, Citation: stri (... 5 chars omitted)
                    child 0, Ingredient: string
                    child 1, Handle: string
                    child 2, Specifics: list<item: struct<Text: string, Citation: string>>
                        child 0, item: struct<Text: string, Citation: string>
                            child 0, Text: string
                            child 1, Citation: string
              snippets: list<item: struct<paperID: string, title: string, text: string, authors: list<item: string>>>
                child 0, item: struct<paperID: string, title: string, text: string, authors: list<item: string>>
                    child 0, paperID: string
                    child 1, title: string
                    child 2, text: string
                    child 3, authors: list<item: string>
                        child 0, item: string
              input_prompt: string
              query: string
              to
              {'Question': Value('string'), 'Answer Critical': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'Valuable': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'Context': List({'Ingredient': Value('string'), 'Handle': Value('string'), 'Specifics': List({'Text': Value('string'), 'Citation': Value('string')})}), 'snippets': List({'paperID': Value('string'), 'title': Value('string'), 'text': Value('string'), 'authors': List(Value('string'))}), 'input_prompt': 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 1347, 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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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
Answer Critical
list
Valuable
list
Context
list
snippets
list
input_prompt
string
The Role of Rhodococcus Biofilms in Pollution Treatment
[ { "Ingredient": "Describe how Rhodococcus biofilms enhance bioremediation efficiency relative to planktonic cells; explicitly mention high cell density, protection from stress/hostile environments, and long-term activity as advantages; link these general biofilm traits to their practical use in pollution treatm...
[ { "Ingredient": "Include the role of Rhodococcus biofilms/communities in mitigating emerging pollutants such as active pharmaceutical ingredients; specify that Rhodococcus spp. dominate polluted ecosystems, have a great variety of degradable pollutants, and are considered active agents for pharmaceutical pollut...
[]
[ { "paperID": "226217347", "title": "Elevated c‐di‐GMP levels promote biofilm formation and biodesulfurization capacity of Rhodococcus erythropolis", "text": "Bacterial biofilms provide high cell density and a superior adaptation and protection from stress conditions compared to planktonic cultures, maki...
You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets (each with an id and text). Your task: design a rubric — a compact set of elements ("ingredients") that a high-quality final answer should satisfy, and map each element to the most relevant snippets. Important: You are sp...
Is there any theoretical support for the causal relationship between government debt and economic growth?
[ { "Ingredient": "Identify that multiple theoretical schools explicitly address causality between public (government) debt and economic growth; name at least the Classical and Keynesian views; characterize the direction of causality they posit (debt harming growth via crowding out versus debt-financed spending b...
[ { "Ingredient": "Note that theoretical and empirical work has produced negative, positive, neutral, and nonlinear/threshold-type relationships between debt and growth; explicitly mention that this heterogeneity and lack of consensus itself is a key conclusion of the literature.", "Handle": "Heterogeneous_Re...
[]
[ { "paperID": "181483437", "title": "Government debt, government debt service and economic growth nexus in Zambia: a multivariate analysis", "text": "The economic recession and debt crises experienced in many developed and emerging countries, beginning in 2007, led to the renewed academic and policy deba...
You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets (each with an id and text). Your task: design a rubric — a compact set of elements ("ingredients") that a high-quality final answer should satisfy, and map each element to the most relevant snippets. Important: You are sp...
Can you tell me about the research literature on serum/plasma exosomes related to the diagnosis of colorectal cancer (CRC) metastasis?
[ { "Ingredient": "Explain why new circulating biomarkers are needed for CRC and how exosomes fit within liquid biopsy approaches; explicitly mention the poor sensitivity/specificity of current markers (e.g., CEA, CA19‑9) and the invasiveness of colonoscopy; describe exosomes as nanosized vesicles present in bloo...
[]
[]
[ { "paperID": "235707308", "title": "Roles of exosomes in diagnosis and treatment of colorectal cancer", "text": "This review shows that exosomes originating from CRC cells can be taken as a new research area for cancer diagnosis and medical treatment because these exosomes are linked to tumorigenesis, c...
You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets (each with an id and text). Your task: design a rubric — a compact set of elements ("ingredients") that a high-quality final answer should satisfy, and map each element to the most relevant snippets. Important: You are sp...
"AUDIT EXPECTATION GAP AND VIEWS OF AUDIT PROFESSIONALS AND STATEMENT USERS ON NARROWING THE GAP IN (...TRUNCATED)
[{"Ingredient":"Define the audit expectation gap clearly; ground the definition in the idea of a dif(...TRUNCATED)
[{"Ingredient":"Clarify that the audit expectation gap is a longstanding, internationally observed i(...TRUNCATED)
[{"Ingredient":"Note that users’ knowledge level and the quality/format of audit reporting influen(...TRUNCATED)
[{"paperID":"55386553","title":"Audit expectation gap: Concept, nature and trace","text":"The study (...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
"AI-Driven Performance Analysis and Quality of Service (QoS) Optimization for 6G-Enabled Industrial (...TRUNCATED)
[{"Ingredient":"Identify the key QoS metrics and their industrial requirements; explicitly mention t(...TRUNCATED)
[]
[]
[{"paperID":"259202763","title":"Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Su(...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
does magnesium supplementation affect sleep quality
[{"Ingredient":"Characterize the overall direction of evidence on whether magnesium supplementation (...TRUNCATED)
[{"Ingredient":"Include evidence from observational and animal studies to contextualize supplementat(...TRUNCATED)
[{"Ingredient":"Describe additional clinical contexts, combination supplements, and safety considera(...TRUNCATED)
[{"paperID":"271892595","title":"From Garden to Pillow: Understanding the Relationship between Plant(...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
"Is there a system that can achieve nanosecond-level toa estimation without relying on high transmis(...TRUNCATED)
[{"Ingredient":"Identify at least one concrete system/algorithm that demonstrates nanosecond-level T(...TRUNCATED)
[{"Ingredient":"Mention at least one practical implementation aspect that aligns with the user’s w(...TRUNCATED)
[]
[{"paperID":"3395986","title":"Nanosecond-Precision Time-of-Arrival Estimation for Aircraft Signals (...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
"What are the implications of AI decision transparency, decision fairness, accountability, and data (...TRUNCATED)
[{"Ingredient":"Explain how transparency and explainability in AI decision-making affect social trus(...TRUNCATED)
[]
[]
[{"paperID":"267602291","title":"THE IMPACT OF ARTIFICIAL INTELLIGENCE IN DECISION MAKING: A COMPREH(...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
"Statement of the problem: Institutional Drivers of Digital Integration into Ethiopian Higher Educat(...TRUNCATED)
[{"Ingredient":"Formulate a clear core problem statement that links the growing importance of digita(...TRUNCATED)
[{"Ingredient":"Align the proposed problem with established research objectives and questions from s(...TRUNCATED)
[{"Ingredient":"Situate the problem in broader transformative and pedagogical frameworks (e.g., TPAC(...TRUNCATED)
[{"paperID":"268008688","title":"Empowering Students Through Digital Literacy: A Case Study of Succe(...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
"Adaptive User Clustering and Power Control in Grant-Free Non-Orthogonal Multiple Access (NOMA) Syst(...TRUNCATED)
[{"Ingredient":"Explain the role and goals of user clustering in NOMA; explicitly link clustering to(...TRUNCATED)
[{"Ingredient":"Discuss multi-cell or hybrid NOMA frameworks where clustering and power allocation a(...TRUNCATED)
[]
[{"paperID":"267233797","title":"Towards intelligent user clustering techniques for non-orthogonal m(...TRUNCATED)
"You will receive: (1) a user Question that tests literature knowledge, and (2) a list of Snippets ((...TRUNCATED)
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