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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)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.
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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