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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 1 new columns ({'id'})

This happened while the csv dataset builder was generating data using

hf://datasets/iforgott/LogicAsker/test.csv (at revision 4e7efbd78738256b0fc9776b289a92dbe4d969c6)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              logic: string
              rule_category: string
              rule: string
              problem: string
              query: string
              answer: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1043
              to
              {'logic': Value(dtype='string', id=None), 'rule_category': Value(dtype='string', id=None), 'rule': Value(dtype='string', id=None), 'problem': Value(dtype='string', id=None), 'query': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None)}
              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 1417, 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 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 1 new columns ({'id'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/iforgott/LogicAsker/test.csv (at revision 4e7efbd78738256b0fc9776b289a92dbe4d969c6)
              
              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.

logic
string
rule_category
string
rule
string
problem
string
query
string
answer
string
propositional
equivalent
associative laws
inference
Consider the following premises: It is sunny, or John is working or James is drinking water. Can we infer the following from them? Answer yes or no: It is sunny or John is working, or James is drinking water.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is cold, and Richard is a mechanic and Elisabeth is sad. Can we infer the following from them? Answer yes or no: It is cold and Richard is a mechanic, and Elisabeth is sad.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is snowing, or David is a doctor or Elisabeth is a soldier. Can we infer the following from them? Answer yes or no: It is snowing or David is a doctor, or Elisabeth is a soldier.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: John is making tea, and Richard is climbing a mountain and Susan is a server. Can we infer the following from them? Answer yes or no: John is making tea and Richard is climbing a mountain, and Susan is a server.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Sarah is a police officer, or it is cold or Barbara is playing squash. Can we infer the following from them? Answer yes or no: Sarah is a police officer or it is cold, or Barbara is playing squash.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Linda is driving a car, and Richard is excited and it is cloudy. Can we infer the following from them? Answer yes or no: Linda is driving a car and Richard is excited, and it is cloudy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Thomas is playing squash, or Richard is rich or Joseph is sleeping. Can we infer the following from them? Answer yes or no: Thomas is playing squash or Richard is rich, or Joseph is sleeping.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: James is a server, or Sarah is climbing a mountain or it is raining. Can we infer the following from them? Answer yes or no: James is a server or Sarah is climbing a mountain, or it is raining.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Linda is making tea, and James is playing a game and Charles is cooking. Can we infer the following from them? Answer yes or no: Linda is making tea and James is playing a game, and Charles is cooking.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Richard is a taxi driver, and Karen is a writer and Richard is a janitor. Can we infer the following from them? Answer yes or no: Richard is a taxi driver and Karen is a writer, and Richard is a janitor.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Elisabeth is writing a letter, or Robert is climbing a mountain or it is sunny. Can we infer the following from them? Answer yes or no: Elisabeth is writing a letter or Robert is climbing a mountain, or it is sunny.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: William is climbing a mountain, or Richard is a mechanic or Jessica is a police officer. Can we infer the following from them? Answer yes or no: William is climbing a mountain or Richard is a mechanic, or Jessica is a police officer.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: David is cooking, or it is cold or Jennifer is running. Can we infer the following from them? Answer yes or no: David is cooking or it is cold, or Jennifer is running.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Linda is driving a car, and it is sunny and Joseph is sleeping. Can we infer the following from them? Answer yes or no: Linda is driving a car and it is sunny, and Joseph is sleeping.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: James is making tea, and Thomas is bored and Elisabeth is working. Can we infer the following from them? Answer yes or no: James is making tea and Thomas is bored, and Elisabeth is working.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Michael is sad, and it is cold and Mary is a server. Can we infer the following from them? Answer yes or no: Michael is sad and it is cold, and Mary is a server.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Robert is climbing a mountain, and John is playing squash and James is drinking water. Can we infer the following from them? Answer yes or no: Robert is climbing a mountain and John is playing squash, and James is drinking water.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Michael is working, and Jennifer is a musician and Thomas is reading a book. Can we infer the following from them? Answer yes or no: Michael is working and Jennifer is a musician, and Thomas is reading a book.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Mary is working, and Robert is a mechanic and Linda is sleeping. Can we infer the following from them? Answer yes or no: Mary is working and Robert is a mechanic, and Linda is sleeping.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Sarah is playing tennis, and Joseph is driving a car and it is snowing. Can we infer the following from them? Answer yes or no: Sarah is playing tennis and Joseph is driving a car, and it is snowing.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is cold, and it is windy and Karen is cooking. Can we infer the following from them? Answer yes or no: It is cold and it is windy, and Karen is cooking.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Thomas is listening to a song, or Robert is reading a book or it is cloudy. Can we infer the following from them? Answer yes or no: Thomas is listening to a song or Robert is reading a book, or it is cloudy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Linda is climbing a mountain, or it is late or it is cloudy. Can we infer the following from them? Answer yes or no: Linda is climbing a mountain or it is late, or it is cloudy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Elisabeth is an electrician, and it is raining and it is windy. Can we infer the following from them? Answer yes or no: Elisabeth is an electrician and it is raining, and it is windy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Jessica is writing a letter, or James is playing a game or William is playing tennis. Can we infer the following from them? Answer yes or no: Jessica is writing a letter or James is playing a game, or William is playing tennis.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is cloudy, and Sarah is a writer and Mary is playing tennis. Can we infer the following from them? Answer yes or no: It is cloudy and Sarah is a writer, and Mary is playing tennis.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Karen is writing a letter, and Karen is a sailor and Jessica is a politician. Can we infer the following from them? Answer yes or no: Karen is writing a letter and Karen is a sailor, and Jessica is a politician.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is raining, or Michael is cooking or it is cold. Can we infer the following from them? Answer yes or no: It is raining or Michael is cooking, or it is cold.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is windy, or Karen is a bartender or John is running. Can we infer the following from them? Answer yes or no: It is windy or Karen is a bartender, or John is running.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: James is a nurse, or Richard is sleeping or Sarah is running. Can we infer the following from them? Answer yes or no: James is a nurse or Richard is sleeping, or Sarah is running.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is sunny, and Richard is a writer and it is windy. Can we infer the following from them? Answer yes or no: It is sunny and Richard is a writer, and it is windy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: James is listening to a song, or it is snowing or it is cloudy. Can we infer the following from them? Answer yes or no: James is listening to a song or it is snowing, or it is cloudy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Jessica is a server, and Richard is drinking water and Susan is playing tennis. Can we infer the following from them? Answer yes or no: Jessica is a server and Richard is drinking water, and Susan is playing tennis.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Michael is fast, and James is sleeping and Patricia is listening to a song. Can we infer the following from them? Answer yes or no: Michael is fast and James is sleeping, and Patricia is listening to a song.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Thomas is drinking water, or Michael is playing squash or Karen is poor. Can we infer the following from them? Answer yes or no: Thomas is drinking water or Michael is playing squash, or Karen is poor.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is snowing, and Linda is sleeping and Joseph is reading a book. Can we infer the following from them? Answer yes or no: It is snowing and Linda is sleeping, and Joseph is reading a book.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is windy, and Richard is an electrician and Richard is a scientist. Can we infer the following from them? Answer yes or no: It is windy and Richard is an electrician, and Richard is a scientist.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Mary is playing a game, or it is raining or Jennifer is excited. Can we infer the following from them? Answer yes or no: Mary is playing a game or it is raining, or Jennifer is excited.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Mary is an artist, or Charles is sleeping or it is cloudy. Can we infer the following from them? Answer yes or no: Mary is an artist or Charles is sleeping, or it is cloudy.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: James is playing tennis, and Susan is a musician and William is making tea. Can we infer the following from them? Answer yes or no: James is playing tennis and Susan is a musician, and William is making tea.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Charles is playing a game, or Barbara is running or it is overcast. Can we infer the following from them? Answer yes or no: Charles is playing a game or Barbara is running, or it is overcast.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is cold, and Jessica is a sailor and Robert is sad. Can we infer the following from them? Answer yes or no: It is cold and Jessica is a sailor, and Robert is sad.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is overcast, and it is sunny and Richard is working. Can we infer the following from them? Answer yes or no: It is overcast and it is sunny, and Richard is working.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Jessica is a server, and it is late and it is snowing. Can we infer the following from them? Answer yes or no: Jessica is a server and it is late, and it is snowing.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Richard is making tea, or Robert is poor or Richard is curious. Can we infer the following from them? Answer yes or no: Richard is making tea or Robert is poor, or Richard is curious.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Jessica is taking a plane, and James is driving a car and it is cold. Can we infer the following from them? Answer yes or no: Jessica is taking a plane and James is driving a car, and it is cold.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Jennifer is making tea, or Thomas is a politician or it is raining. Can we infer the following from them? Answer yes or no: Jennifer is making tea or Thomas is a politician, or it is raining.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: It is snowing, or Jennifer is a soldier or David is a carpenter. Can we infer the following from them? Answer yes or no: It is snowing or Jennifer is a soldier, or David is a carpenter.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: David is an electrician, and David is cooking and Linda is a lawyer. Can we infer the following from them? Answer yes or no: David is an electrician and David is cooking, and Linda is a lawyer.
yes
propositional
equivalent
associative laws
inference
Consider the following premises: Barbara is climbing a mountain, or Jennifer is playing squash or Karen is a carpenter. Can we infer the following from them? Answer yes or no: Barbara is climbing a mountain or Jennifer is playing squash, or Karen is a carpenter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: James is a server. Can we infer the following from them? Answer yes or no: James is a server.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Jessica is a lawyer. Can we infer the following from them? Answer yes or no: Jessica is a lawyer.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Charles is running. Can we infer the following from them? Answer yes or no: Charles is running.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Robert is a musician. Can we infer the following from them? Answer yes or no: Robert is a musician.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: John is an astronaut. Can we infer the following from them? Answer yes or no: John is an astronaut.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is running. Can we infer the following from them? Answer yes or no: William is running.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Michael is happy. Can we infer the following from them? Answer yes or no: Michael is happy.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: James is running. Can we infer the following from them? Answer yes or no: James is running.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Elisabeth is a lawyer. Can we infer the following from them? Answer yes or no: Elisabeth is a lawyer.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is snowing. Can we infer the following from them? Answer yes or no: It is snowing.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Charles is cooking. Can we infer the following from them? Answer yes or no: Charles is cooking.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Susan is writing a letter. Can we infer the following from them? Answer yes or no: Susan is writing a letter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Mary is a police officer. Can we infer the following from them? Answer yes or no: Mary is a police officer.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: David is a doctor. Can we infer the following from them? Answer yes or no: David is a doctor.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is rich. Can we infer the following from them? Answer yes or no: William is rich.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: James is a lawyer. Can we infer the following from them? Answer yes or no: James is a lawyer.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: John is bored. Can we infer the following from them? Answer yes or no: John is bored.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is overcast. Can we infer the following from them? Answer yes or no: It is overcast.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is late. Can we infer the following from them? Answer yes or no: It is late.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Thomas is a carpenter. Can we infer the following from them? Answer yes or no: Thomas is a carpenter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Patricia is listening to a song. Can we infer the following from them? Answer yes or no: Patricia is listening to a song.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is taking a plane. Can we infer the following from them? Answer yes or no: William is taking a plane.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Sarah is a poet. Can we infer the following from them? Answer yes or no: Sarah is a poet.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is a police officer. Can we infer the following from them? Answer yes or no: William is a police officer.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is snowing. Can we infer the following from them? Answer yes or no: It is snowing.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Richard is reading a book. Can we infer the following from them? Answer yes or no: Richard is reading a book.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Linda is a scientist. Can we infer the following from them? Answer yes or no: Linda is a scientist.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Patricia is climbing a mountain. Can we infer the following from them? Answer yes or no: Patricia is climbing a mountain.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is cold. Can we infer the following from them? Answer yes or no: It is cold.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is windy. Can we infer the following from them? Answer yes or no: It is windy.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Karen is writing a letter. Can we infer the following from them? Answer yes or no: Karen is writing a letter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Jennifer is a carpenter. Can we infer the following from them? Answer yes or no: Jennifer is a carpenter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: James is playing a game. Can we infer the following from them? Answer yes or no: James is playing a game.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is raining. Can we infer the following from them? Answer yes or no: It is raining.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Barbara is taking a plane. Can we infer the following from them? Answer yes or no: Barbara is taking a plane.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Patricia is listening to a song. Can we infer the following from them? Answer yes or no: Patricia is listening to a song.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Richard is a carpenter. Can we infer the following from them? Answer yes or no: Richard is a carpenter.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is an artist. Can we infer the following from them? Answer yes or no: William is an artist.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Richard is a politician. Can we infer the following from them? Answer yes or no: Richard is a politician.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is sunny. Can we infer the following from them? Answer yes or no: It is sunny.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: James is reading a book. Can we infer the following from them? Answer yes or no: James is reading a book.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Sarah is an electrician. Can we infer the following from them? Answer yes or no: Sarah is an electrician.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Richard is sleeping. Can we infer the following from them? Answer yes or no: Richard is sleeping.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Linda is climbing a mountain. Can we infer the following from them? Answer yes or no: Linda is climbing a mountain.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Sarah is playing a game. Can we infer the following from them? Answer yes or no: Sarah is playing a game.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is cloudy. Can we infer the following from them? Answer yes or no: It is cloudy.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: It is windy. Can we infer the following from them? Answer yes or no: It is windy.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Richard is listening to a song. Can we infer the following from them? Answer yes or no: Richard is listening to a song.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: Joseph is playing a game. Can we infer the following from them? Answer yes or no: Joseph is playing a game.
yes
propositional
equivalent
complement laws
inference
Consider the following premises: William is a poet. Can we infer the following from them? Answer yes or no: William is a poet.
yes
End of preview.

We present test data which we used in our experiment and a training dataset of size 10.4k for future research.

Github | Papaer

LogicAsker is a novel approach for evaluating and enhancing the logical reasoning capabilities of large language models (LLMs) such as ChatGPT and GPT-4. Despite LLMs' prowess in tasks like writing assistance, code generation, and machine translation, assessing their ability to reason has been challenging. Traditional evaluations often prioritize accuracy on downstream tasks over direct assessments of reasoning processes. LogicAsker addresses this gap by employing a set of atomic reasoning skills grounded in propositional and predicate logic to systematically examine and improve the reasoning prowess of LLMs. Our methodology reveals significant gaps in LLMs' learning of logical rules, with identified reasoning failures ranging from 29% to 90% across different models. Moreover, we leverage these findings to construct targeted demonstration examples and fine-tune data, notably enhancing logical reasoning in models like GPT-4o by up to 5%. To our knowledge, this is the first effort to utilize test case outcomes to effectively refine LLMs' formal reasoning capabilities.

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