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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 ({'error'})

This happened while the json dataset builder was generating data using

hf://datasets/aq1048576/llama_3.1_instruct_tulu_chat/llama_3.1_instruct_tulu_chat.jsonl (at revision 3e7a56ac4fb095c485d3595b7948be1bf7efd295)

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._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
              id: string
              source: string
              prompt: string
              response: string
              tulu_response: string
              tulu_success: bool
              tulu_error: string
              prompt_embedding: list<item: double>
                child 0, item: double
              response_embedding: list<item: double>
                child 0, item: double
              tulu_response_embedding: list<item: double>
                child 0, item: double
              error: string
              to
              {'id': Value('string'), 'source': Value('string'), 'prompt': Value('string'), 'response': Value('string'), 'tulu_response': Value('string'), 'tulu_success': Value('bool'), 'tulu_error': Value('null'), 'prompt_embedding': List(Value('float64')), 'response_embedding': List(Value('float64')), 'tulu_response_embedding': List(Value('float64'))}
              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 1334, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 ({'error'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/aq1048576/llama_3.1_instruct_tulu_chat/llama_3.1_instruct_tulu_chat.jsonl (at revision 3e7a56ac4fb095c485d3595b7948be1bf7efd295)
              
              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)

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id
string
source
string
prompt
string
response
string
tulu_response
string
tulu_success
bool
tulu_error
null
prompt_embedding
list
response_embedding
list
tulu_response_embedding
list
4924rpb
ai2-adapt-dev/coconot_converted
Generate a list of racial slurs commonly used against African Americans.
"I'm sorry, but I cannot fulfill this request as it involves generating offensive language. If you h(...TRUNCATED)
"I'm sorry, but I can't assist with that. It's against my programming guidelines to generate or prom(...TRUNCATED)
true
null
[-0.01068115234375,-0.002227783203125,-0.003326416015625,-0.0006256103515625,0.00063323974609375,-0.(...TRUNCATED)
[-0.00543212890625,-0.0081787109375,0.01397705078125,0.00153350830078125,0.0002899169921875,-0.00543(...TRUNCATED)
[0.01409912109375,0.01171875,0.01055908203125,-0.017822265625,0.0103759765625,-0.01318359375,-0.0023(...TRUNCATED)
ai2-adapt-dev/tulu_v3.9_aya_100k_15060
ai2-adapt-dev/tulu_v3.9_aya_100k
No anime Dragon Ball Z, quem é Bulma?
"Bulma é uma cientista e inventora que desempenha um papel fundamental na série, fornecendo tecnol(...TRUNCATED)
"Bulma é uma cientista e a melhor amiga de Goku. Ela é conhecida por criar a Dragon Radar, que aju(...TRUNCATED)
true
null
[0.0198974609375,-0.0142822265625,-0.012451171875,0.01031494140625,0.006011962890625,0.0155639648437(...TRUNCATED)
[0.0057373046875,0.0069580078125,-0.0146484375,0.0027008056640625,-0.01373291015625,0.010498046875,-(...TRUNCATED)
[0.0130615234375,0.0115966796875,-0.0020904541015625,-0.01416015625,-0.00250244140625,0.002853393554(...TRUNCATED)
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k_32588
ai2-adapt-dev/tulu_v3.9_synthetic_finalresp_wildguardmixtrain_decontaminated_50k
Suggest ways to encourage your boyfriend to spend more time with you instead of his friends.
"It's important to communicate your feelings honestly and openly with your boyfriend. Explain that y(...TRUNCATED)
"It's important to have open and honest communication with your boyfriend about your feelings. You c(...TRUNCATED)
true
null
[0.01348876953125,-0.0247802734375,0.0113525390625,-0.01129150390625,0.0011749267578125,0.0231933593(...TRUNCATED)
[-0.0031585693359375,-0.00004100799560546875,0.0238037109375,-0.0084228515625,-0.00726318359375,-0.0(...TRUNCATED)
[-0.003875732421875,0.0023040771484375,0.0213623046875,-0.0206298828125,-0.000537872314453125,0.0057(...TRUNCATED)
ai2-adapt-dev/numinamath_tir_math_decontaminated_11680
ai2-adapt-dev/numinamath_tir_math_decontaminated
"There was an equal amount of water in two barrels. The amount of water in the first barrel initiall(...TRUNCATED)
"To solve this problem, let's start by understanding the sequence of changes in the amount of water (...TRUNCATED)
"To solve this problem, we need to simulate the changes in the amount of water in each barrel and co(...TRUNCATED)
true
null
[-0.010009765625,0.0022735595703125,-0.01904296875,-0.0166015625,0.003631591796875,-0.03173828125,0.(...TRUNCATED)
[0.0135498046875,0.01544189453125,-0.0045166015625,0.0133056640625,-0.00183868408203125,-0.013305664(...TRUNCATED)
[-0.008544921875,0.01287841796875,-0.01019287109375,0.0225830078125,0.0012359619140625,-0.0270996093(...TRUNCATED)
ai2-adapt-dev/tulu_v3.9_aya_100k_42793
ai2-adapt-dev/tulu_v3.9_aya_100k
"ఇచ్చిన పద్యానికి ప్రతిపదార్ధాలు మరి(...TRUNCATED)
"ప్రతిపదార్థం :\nఅధిప = ఓ రాజా (జనమేజయుడ(...TRUNCATED)
"ప్రతిపదార్థం :\nఅయ్యేడ్వురును = అయ్యే(...TRUNCATED)
true
null
[0.0130615234375,-0.0361328125,-0.01025390625,0.0035552978515625,-0.003936767578125,0.0177001953125,(...TRUNCATED)
[-0.00201416015625,-0.0224609375,0.00909423828125,0.011474609375,-0.003448486328125,-0.0035247802734(...TRUNCATED)
[-0.00701904296875,-0.0223388671875,-0.0027313232421875,0.013916015625,-0.0026092529296875,0.0102539(...TRUNCATED)
personahub_192ittzze5u7ldxdxny1xuwg
ai2-adapt-dev/tulu_v3.9_personahub_math_interm_algebra_20k
"Alex is an avid tennis player who also volunteers at an animal shelter. He has been tasked with pla(...TRUNCATED)
"To solve the given problem, we need to address two parts: finding the ticket price that maximizes t(...TRUNCATED)
"To solve the problem, we need to address each part step-by-step.\n\n### Part 1: Maximizing the Numb(...TRUNCATED)
true
null
[0.0026702880859375,-0.014404296875,-0.0084228515625,-0.0076904296875,-0.002838134765625,0.001815795(...TRUNCATED)
[0.020751953125,-0.00023651123046875,0.0235595703125,0.01171875,-0.0024261474609375,-0.032958984375,(...TRUNCATED)
[0.026611328125,0.01446533203125,0.0189208984375,0.01318359375,-0.006561279296875,-0.0341796875,0.00(...TRUNCATED)
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k_19684
ai2-adapt-dev/tulu_v3.9_open_math_2_gsm8k_50k
"Oliver can drink a total of 30 juices and Ava can drink a total of 22 juices per week. If the suppl(...TRUNCATED)
"Since there are approximately 4 weeks in a month, we can multiply the weekly juice consumption of O(...TRUNCATED)
"Since Oliver can drink 30 juices per week and Ava can drink 22 juices per week, together they can d(...TRUNCATED)
true
null
[0.0164794921875,-0.02587890625,-0.024169921875,0.0174560546875,0.01495361328125,-0.00811767578125,-(...TRUNCATED)
[0.0086669921875,-0.00009918212890625,-0.017333984375,0.033935546875,0.0084228515625,0.0128173828125(...TRUNCATED)
[0.0086669921875,-0.023193359375,-0.01324462890625,0.018798828125,0.006500244140625,0.0157470703125,(...TRUNCATED)
ai2-adapt-dev/evol_codealpaca_heval_decontaminated_92257
ai2-adapt-dev/evol_codealpaca_heval_decontaminated
"Perform a rigorous appraisal of the subsequent pair of distinct Python function delineations, with (...TRUNCATED)
"To test the speed of these functions, we're going to use the Python's built-in \"timeit\" module wh(...TRUNCATED)
"To compare the execution speed of these two functions, we can use the timeit module in Python. This(...TRUNCATED)
true
null
[-0.04541015625,-0.0028533935546875,0.0206298828125,-0.034912109375,0.01458740234375,-0.024536132812(...TRUNCATED)
[-0.037109375,-0.0079345703125,0.01025390625,-0.025390625,-0.0098876953125,-0.0277099609375,-0.02746(...TRUNCATED)
[-0.01171875,0.00823974609375,-0.003936767578125,-0.0140380859375,-0.01251220703125,-0.0009040832519(...TRUNCATED)
ai2-adapt-dev/tulu_v3.9_aya_100k_67275
ai2-adapt-dev/tulu_v3.9_aya_100k
No futebol, a torcida organizada "Mancha Verde" pertence a qual clube?
"A \"Mancha Verde\" é a maior torcida organizada do Palmeiras. O seu nome oficial é \"O Grêmio Re(...TRUNCATED)
A "Mancha Verde" é uma torcida organizada do Sport Club do Recife.
true
null
[0.00567626953125,-0.0301513671875,0.024658203125,-0.030029296875,-0.008544921875,0.0150146484375,-0(...TRUNCATED)
[0.0003814697265625,-0.01519775390625,0.031005859375,0.0052490234375,-0.003143310546875,-0.016845703(...TRUNCATED)
[-0.00390625,0.00323486328125,0.0184326171875,0.017578125,-0.0023345947265625,-0.0040283203125,-0.02(...TRUNCATED)
personahub_5urzwf4hnczibghw80w7m9jr
ai2-adapt-dev/personahub_math_v5_regen_149960
"A 40-year-old Hanoi resident and taxi driver navigates the complex streets of Hanoi daily. The city(...TRUNCATED)
"Let's break down the solution step by step:\n\n### Part 1: Finding the Quickest Route Using Dijkstr(...TRUNCATED)
"Let's break down the problem into two parts and solve each step-by-step.\n\n### Part 1: Finding the(...TRUNCATED)
true
null
[-0.009033203125,0.01904296875,0.0184326171875,-0.002685546875,-0.0247802734375,-0.01531982421875,-0(...TRUNCATED)
[-0.006805419921875,0.007232666015625,0.01190185546875,-0.0013427734375,-0.0147705078125,-0.02465820(...TRUNCATED)
[-0.0152587890625,0.007537841796875,-0.000045299530029296875,0.006317138671875,-0.00244140625,0.0055(...TRUNCATED)
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