PolyPythias
Collection
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'task_hashes' with no child field to Parquet. Consider adding a dummy child field.
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 620, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type 'task_hashes' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1886, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 639, in finalize
self._build_writer(self.schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 441, in _build_writer
self.pa_writer = self._WRITER_CLASS(self.stream, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__
self.writer = _parquet.ParquetWriter(
File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__
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.ArrowNotImplementedError: Cannot write struct type 'task_hashes' with no child field to Parquet. Consider adding a dummy child field.
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 1438, 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 1050, 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 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
results dict | groups dict | group_subtasks dict | configs dict | versions dict | n-shot dict | n-samples dict | config dict | git_hash string | date float64 | pretty_env_info string | transformers_version string | upper_git_hash null | task_hashes dict | model_source string | model_name string | model_name_sanitized string | start_time float64 | end_time float64 | total_evaluation_time_seconds string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"blimp": {
"acc,none": 0.5102835820895523,
"acc_stderr,none": 0.0018749288807151285,
"alias": "blimp"
},
"blimp_adjunct_island": {
"acc,none": 0.596,
"acc_stderr,none": 0.015524980677122437,
"alias": " - blimp_adjunct_island"
},
"blimp_anaphor_gender_agreement": {
"acc,none": 0.6... | {
"blimp": {
"acc,none": 0.5102835820895523,
"acc_stderr,none": 0.0018749288807151285,
"alias": "blimp"
}
} | {
"blimp": [
"blimp_causative",
"blimp_determiner_noun_agreement_irregular_2",
"blimp_passive_1",
"blimp_wh_questions_subject_gap",
"blimp_irregular_plural_subject_verb_agreement_1",
"blimp_wh_vs_that_no_gap",
"blimp_complex_NP_island",
"blimp_principle_A_reconstruction",
"blimp_an... | {
"blimp_adjunct_island": {
"task": "blimp_adjunct_island",
"group": "blimp",
"dataset_path": "blimp",
"dataset_name": "adjunct_island",
"validation_split": "train",
"doc_to_text": "",
"doc_to_target": 0,
"doc_to_choice": "{{[sentence_good, sentence_bad]}}",
"description": "",
... | {
"blimp_adjunct_island": 1,
"blimp_anaphor_gender_agreement": 1,
"blimp_anaphor_number_agreement": 1,
"blimp_animate_subject_passive": 1,
"blimp_animate_subject_trans": 1,
"blimp_causative": 1,
"blimp_complex_NP_island": 1,
"blimp_coordinate_structure_constraint_complex_left_branch": 1,
"blimp_coordi... | {
"blimp": 0,
"blimp_adjunct_island": 0,
"blimp_anaphor_gender_agreement": 0,
"blimp_anaphor_number_agreement": 0,
"blimp_animate_subject_passive": 0,
"blimp_animate_subject_trans": 0,
"blimp_causative": 0,
"blimp_complex_NP_island": 0,
"blimp_coordinate_structure_constraint_complex_left_branch": 0,
... | {
"blimp_causative": {
"original": 1000,
"effective": 1000
},
"blimp_determiner_noun_agreement_irregular_2": {
"original": 1000,
"effective": 1000
},
"blimp_passive_1": {
"original": 1000,
"effective": 1000
},
"blimp_wh_questions_subject_gap": {
"original": 1000,
"effective... | {
"model": "hf",
"model_args": "pretrained=EleutherAI/pythia-14m,revision=step0",
"model_num_parameters": 14067712,
"model_dtype": "torch.float16",
"model_revision": "step0",
"model_sha": "bc249c50b4a381f99e9296f08a69b8562a31fde4",
"batch_size": "1024",
"batch_sizes": [],
"device": "cuda",
"use_cach... | 51a7ca9 | 1,720,429,466.869086 | PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: CentOS Linux release 7.9.2009 (Core) (x86_64)
GCC version: (GCC) 12.1.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.17
Python version: 3.12.1 (main, Jan 1... | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 753,492.986263 | 753,904.208267 | 411.22200435004197 |
{
"lambada_openai": {
"perplexity,none": 3507781.8105202965,
"perplexity_stderr,none": 338907.2426000304,
"acc,none": 0,
"acc_stderr,none": 0,
"alias": "lambada_openai"
}
} | null | {
"lambada_openai": []
} | {
"lambada_openai": {
"task": "lambada_openai",
"group": [
"lambada"
],
"dataset_path": "EleutherAI/lambada_openai",
"dataset_name": "default",
"dataset_kwargs": {
"trust_remote_code": true
},
"test_split": "test",
"doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
... | {
"lambada_openai": 1
} | {
"lambada_openai": 0
} | {
"lambada_openai": {
"original": 5153,
"effective": 5153
}
} | {
"model": "hf",
"model_args": "pretrained=EleutherAI/pythia-14m,revision=step0,",
"model_num_parameters": 14067712,
"model_dtype": "torch.float16",
"model_revision": "step0",
"model_sha": "bc249c50b4a381f99e9296f08a69b8562a31fde4",
"batch_size": "128",
"batch_sizes": [],
"device": "cuda",
"use_cach... | 51a7ca9 | 1,723,751,264.258567 | PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: CentOS Linux release 7.9.2009 (Core) (x86_64)
GCC version: (GCC) 12.1.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.17
Python version: 3.12.1 (main, Jan 1... | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 1,133,831.651543 | 1,133,915.107704 | 83.45616106898524 |
{
"simple_cooccurrence_bias": {
"likelihood_diff,none": -0.31463995695410724,
"likelihood_diff_stderr,none": 0.01165886599756874,
"pct_male_preferred,none": 0.8746438746438746,
"pct_male_preferred_stderr,none": 0.017699230587944016,
"alias": "simple_cooccurrence_bias"
}
} | null | {
"simple_cooccurrence_bias": []
} | {
"simple_cooccurrence_bias": {
"task": "simple_cooccurrence_bias",
"group": [
"social_bias"
],
"dataset_path": "oskarvanderwal/simple-cooccurrence-bias",
"test_split": "test",
"doc_to_text": "{{sentence}}",
"doc_to_target": [
0,
1
],
"doc_to_choice": [
"fem... | {
"simple_cooccurrence_bias": 1
} | {
"simple_cooccurrence_bias": 0
} | {
"simple_cooccurrence_bias": {
"original": 351,
"effective": 351
}
} | {
"model": "hf",
"model_args": "pretrained=EleutherAI/pythia-14m,revision=step0",
"model_num_parameters": 14067712,
"model_dtype": "torch.float16",
"model_revision": "step0",
"model_sha": "bc249c50b4a381f99e9296f08a69b8562a31fde4",
"batch_size": "1024",
"batch_sizes": [],
"device": "cuda",
"use_cach... | 51a7ca9 | 1,724,408,842.463424 | PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: CentOS Linux release 7.9.2009 (Core) (x86_64)
GCC version: (GCC) 12.1.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.17
Python version: 3.9.0 (default, Oct... | 4.44.0 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 4,697,201.426428 | 4,697,253.040466 | 51.61403867881745 |
{"blimp":{"acc,none":0.5102835820895523,"acc_stderr,none":0.0018749288807151285,"alias":"blimp"},"bl(...TRUNCATED) | {
"blimp": {
"acc,none": 0.5102835820895523,
"acc_stderr,none": 0.0018749288807151285,
"alias": "blimp"
}
} | {"blimp":["blimp_causative","blimp_determiner_noun_agreement_irregular_2","blimp_passive_1","blimp_w(...TRUNCATED) | {"blimp_adjunct_island":{"task":"blimp_adjunct_island","group":"blimp","dataset_path":"blimp","datas(...TRUNCATED) | {"blimp_adjunct_island":1.0,"blimp_anaphor_gender_agreement":1.0,"blimp_anaphor_number_agreement":1.(...TRUNCATED) | {"blimp":0,"blimp_adjunct_island":0,"blimp_anaphor_gender_agreement":0,"blimp_anaphor_number_agreeme(...TRUNCATED) | {"blimp_causative":{"original":1000,"effective":1000},"blimp_determiner_noun_agreement_irregular_2":(...TRUNCATED) | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1","model_num_parameters":(...TRUNCATED) | 51a7ca9 | 1,720,429,852.278012 | "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 753,927.127344 | 754,281.841991 | 354.71464768901933 |
{"lambada_openai":{"perplexity,none":3507781.8105202965,"perplexity_stderr,none":338907.2426000304,"(...TRUNCATED) | null | {
"lambada_openai": []
} | {"lambada_openai":{"task":"lambada_openai","group":["lambada"],"dataset_path":"EleutherAI/lambada_op(...TRUNCATED) | {
"lambada_openai": 1
} | {
"lambada_openai": 0
} | {
"lambada_openai": {
"original": 5153,
"effective": 5153
}
} | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1,","model_num_parameters"(...TRUNCATED) | 51a7ca9 | 1,723,751,353.851652 | "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 1,133,922.894151 | 1,134,001.333326 | 78.43917500483803 |
{"simple_cooccurrence_bias":{"likelihood_diff,none":-0.31463995695410724,"likelihood_diff_stderr,non(...TRUNCATED) | null | {
"simple_cooccurrence_bias": []
} | {"simple_cooccurrence_bias":{"task":"simple_cooccurrence_bias","group":["social_bias"],"dataset_path(...TRUNCATED) | {
"simple_cooccurrence_bias": 1
} | {
"simple_cooccurrence_bias": 0
} | {
"simple_cooccurrence_bias": {
"original": 351,
"effective": 351
}
} | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1","model_num_parameters":(...TRUNCATED) | 51a7ca9 | 1,724,408,896.377194 | "PyTorch version: 2.4.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.44.0 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 4,697,261.07943 | 4,697,297.183277 | 36.10384631436318 |
{"blimp":{"acc,none":0.577134328358209,"acc_stderr,none":0.0016256946286422691,"alias":"blimp"},"bli(...TRUNCATED) | {
"blimp": {
"acc,none": 0.577134328358209,
"acc_stderr,none": 0.0016256946286422691,
"alias": "blimp"
}
} | {"blimp":["blimp_causative","blimp_determiner_noun_agreement_irregular_2","blimp_passive_1","blimp_w(...TRUNCATED) | {"blimp_adjunct_island":{"task":"blimp_adjunct_island","group":"blimp","dataset_path":"blimp","datas(...TRUNCATED) | {"blimp_adjunct_island":1.0,"blimp_anaphor_gender_agreement":1.0,"blimp_anaphor_number_agreement":1.(...TRUNCATED) | {"blimp":0,"blimp_adjunct_island":0,"blimp_anaphor_gender_agreement":0,"blimp_anaphor_number_agreeme(...TRUNCATED) | {"blimp_causative":{"original":1000,"effective":1000},"blimp_determiner_noun_agreement_irregular_2":(...TRUNCATED) | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1000","model_num_parameter(...TRUNCATED) | 51a7ca9 | 1,720,432,542.210486 | "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 756,656.804734 | 756,983.172127 | 326.3673931409139 |
{"lambada_openai":{"perplexity,none":195988.90526637834,"perplexity_stderr,none":12193.7268807034,"a(...TRUNCATED) | null | {
"lambada_openai": []
} | {"lambada_openai":{"task":"lambada_openai","group":["lambada"],"dataset_path":"EleutherAI/lambada_op(...TRUNCATED) | {
"lambada_openai": 1
} | {
"lambada_openai": 0
} | {
"lambada_openai": {
"original": 5153,
"effective": 5153
}
} | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1000,","model_num_paramete(...TRUNCATED) | 51a7ca9 | 1,723,752,224.187968 | "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 1,134,793.204587 | 1,134,878.555077 | 85.35048984992318 |
{"simple_cooccurrence_bias":{"likelihood_diff,none":0.48672151134867353,"likelihood_diff_stderr,none(...TRUNCATED) | null | {
"simple_cooccurrence_bias": []
} | {"simple_cooccurrence_bias":{"task":"simple_cooccurrence_bias","group":["social_bias"],"dataset_path(...TRUNCATED) | {
"simple_cooccurrence_bias": 1
} | {
"simple_cooccurrence_bias": 0
} | {
"simple_cooccurrence_bias": {
"original": 351,
"effective": 351
}
} | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step1000","model_num_parameter(...TRUNCATED) | 51a7ca9 | 1,724,409,271.13693 | "PyTorch version: 2.4.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.44.0 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 4,697,640.102159 | 4,697,671.799938 | 31.697778502479196 |
{"blimp":{"acc,none":0.6514925373134328,"acc_stderr,none":0.00155966533870429,"alias":"blimp"},"blim(...TRUNCATED) | {
"blimp": {
"acc,none": 0.6514925373134328,
"acc_stderr,none": 0.00155966533870429,
"alias": "blimp"
}
} | {"blimp":["blimp_causative","blimp_determiner_noun_agreement_irregular_2","blimp_passive_1","blimp_w(...TRUNCATED) | {"blimp_adjunct_island":{"task":"blimp_adjunct_island","group":"blimp","dataset_path":"blimp","datas(...TRUNCATED) | {"blimp_adjunct_island":1.0,"blimp_anaphor_gender_agreement":1.0,"blimp_anaphor_number_agreement":1.(...TRUNCATED) | {"blimp":0,"blimp_adjunct_island":0,"blimp_anaphor_gender_agreement":0,"blimp_anaphor_number_agreeme(...TRUNCATED) | {"blimp_causative":{"original":1000,"effective":1000},"blimp_determiner_noun_agreement_irregular_2":(...TRUNCATED) | {"model":"hf","model_args":"pretrained=EleutherAI/pythia-14m,revision=step10000","model_num_paramete(...TRUNCATED) | 51a7ca9 | 1,720,435,689.384633 | "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to(...TRUNCATED) | 4.40.2 | null | {} | hf | EleutherAI/pythia-14m | EleutherAI__pythia-14m | 759,789.583742 | 760,113.082642 | 323.4988997380715 |
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