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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'group_subtasks' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 771, in _write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 812, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'group_subtasks' 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 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 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, 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 | group_subtasks dict | configs dict | versions dict | n-shot dict | higher_is_better dict | n-samples dict | config dict | git_hash string | date float64 | pretty_env_info string | transformers_version string | lm_eval_version string | upper_git_hash null | tokenizer_pad_token list | tokenizer_eos_token list | tokenizer_bos_token list | eot_token_id int64 | max_length int64 | task_hashes dict | model_source string | model_name string | model_name_sanitized string | system_instruction null | system_instruction_sha null | fewshot_as_multiturn null | chat_template null | chat_template_sha null | total_evaluation_time_seconds string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"hellaswag": {
"name": "hellaswag",
"alias": "hellaswag",
"sample_len": 10042,
"acc,none": 0.4879506074487154,
"acc_stderr,none": 0.004988332289641878,
"acc_norm,none": 0.6452897829117705,
"acc_norm_stderr,none": 0.0047744764982386185
},
"piqa": {
"name": "piqa",
"alias": "pi... | {} | {
"arc_challenge": {
"task": "arc_challenge",
"dataset_path": "allenai/ai2_arc",
"dataset_name": "ARC-Challenge",
"training_split": "train",
"validation_split": "validation",
"test_split": "test",
"doc_to_text": "Question: {{question}}\nAnswer:",
"doc_to_target": "{{choices.label.index... | {
"arc_challenge": 1,
"arc_easy": 1,
"boolq": 2,
"hellaswag": 1,
"openbookqa": 1,
"piqa": 1,
"winogrande": 1
} | {
"arc_challenge": 0,
"arc_easy": 0,
"boolq": 0,
"hellaswag": 0,
"openbookqa": 0,
"piqa": 0,
"winogrande": 0
} | {
"arc_challenge": {
"acc": true,
"acc_norm": true
},
"arc_easy": {
"acc": true,
"acc_norm": true
},
"boolq": {
"acc": true
},
"hellaswag": {
"acc": true,
"acc_norm": true
},
"openbookqa": {
"acc": true,
"acc_norm": true
},
"piqa": {
"acc": true,
"acc_no... | {
"hellaswag": {
"original": 10042,
"effective": 10042
},
"piqa": {
"original": 1838,
"effective": 1838
},
"winogrande": {
"original": 1267,
"effective": 1267
},
"boolq": {
"original": 3270,
"effective": 3270
},
"arc_easy": {
"original": 2376,
"effective": 2376
... | {
"model": "hf",
"model_args": {
"pretrained": "Diamegs/PIT-4B-FT-202212",
"dtype": "float16",
"trust_remote_code": true
},
"model_num_parameters": 4438622208,
"model_dtype": "torch.float16",
"model_revision": "main",
"model_sha": "54f12c5f9db421aae3c2359d28b1a6a052d83fb9",
"batch_size": "au... | 49b8206 | 1,778,832,442.792797 | PyTorch version: 2.11.0+cu130
Is debug build: False
CUDA used to build PyTorch: 13.0
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.28.1
Libc version: glibc-2.35
Python version: 3.12.12 (main,... | 5.7.0 | 0.4.12 | null | [
"<|endoftext|>",
"50256"
] | [
"<|endoftext|>",
"50256"
] | [
"<|endoftext|>",
"50256"
] | 50,256 | 1,024 | {} | hf | Diamegs/PIT-4B-FT-202212 | Diamegs__PIT-4B-FT-202212 | null | null | null | null | null | 292.84565822035074 |
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