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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 11 new columns ({'errors', 'boundary_f1@2.5ft', 'depth_accuracy_confident', 'model_id', 'provider', 'boundary_f1@5ft', 'model', 'n_wells', 'depth_macro_f1', 'boundary_f1@10ft', 'depth_macro_f1_confident'}) and 3 missing columns ({'well_id', 'n_pred_intervals', 'n_ref_intervals'}).
This happened while the csv dataset builder was generating data using
hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results/zero_shot_summary.csv (at revision 58669641032446d85f21f4ce55a866f00027fb4f), ['hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_DeepSeek-V3.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_GPT-OSS-120B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_GPT-OSS-20B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Gemma2-27B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Kimi-K2.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Llama-3.3-70B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Mistral-7B-v0.3.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen2.5-72B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen2.5-Coder-32B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen3.8-27B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/zero_shot_summary.csv']
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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
n_wells: int64
depth_accuracy: double
depth_macro_f1: double
depth_accuracy_confident: double
depth_macro_f1_confident: double
sequence_similarity: double
boundary_f1@2.5ft: double
boundary_f1@5ft: double
boundary_f1@10ft: double
model: string
model_id: string
provider: string
errors: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1933
to
{'well_id': Value('int64'), 'depth_accuracy': Value('float64'), 'sequence_similarity': Value('float64'), 'n_ref_intervals': Value('int64'), 'n_pred_intervals': Value('int64')}
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 11 new columns ({'errors', 'boundary_f1@2.5ft', 'depth_accuracy_confident', 'model_id', 'provider', 'boundary_f1@5ft', 'model', 'n_wells', 'depth_macro_f1', 'boundary_f1@10ft', 'depth_macro_f1_confident'}) and 3 missing columns ({'well_id', 'n_pred_intervals', 'n_ref_intervals'}).
This happened while the csv dataset builder was generating data using
hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results/zero_shot_summary.csv (at revision 58669641032446d85f21f4ce55a866f00027fb4f), ['hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_DeepSeek-V3.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_GPT-OSS-120B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_GPT-OSS-20B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Gemma2-27B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Kimi-K2.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Llama-3.3-70B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Mistral-7B-v0.3.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen2.5-72B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen2.5-Coder-32B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/per_well_Qwen3.8-27B.csv', 'hf://datasets/NoraResearchLab/lithology-zeroshot-llm-results@58669641032446d85f21f4ce55a866f00027fb4f/zero_shot_summary.csv']
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.
well_id int64 | depth_accuracy float64 | sequence_similarity float64 | n_ref_intervals int64 | n_pred_intervals int64 |
|---|---|---|---|---|
1,332,609,300 | 0.642788 | 0.184211 | 38 | 9 |
1,500,129,426 | 0.547261 | 0.25 | 40 | 11 |
1,500,129,430 | 0.473478 | 0.28 | 25 | 12 |
1,500,129,434 | 0.621277 | 0.134615 | 52 | 7 |
1,500,129,576 | 0.690217 | 0.121212 | 33 | 7 |
1,500,129,589 | 0.635562 | 0.184211 | 38 | 7 |
1,500,129,596 | 0.742872 | 0.166667 | 36 | 6 |
1,500,129,600 | 0.650372 | 0.081081 | 37 | 3 |
1,500,129,605 | 0.687166 | 0.128205 | 39 | 6 |
1,500,129,623 | 0.139603 | 0.037037 | 27 | 1 |
1,500,129,638 | 0.045524 | 0.029412 | 34 | 1 |
1,500,129,937 | 0.089641 | 0.012987 | 77 | 1 |
1,500,724,399 | 0.437797 | 0.003774 | 265 | 1 |
1,500,724,434 | 0.483241 | 0.005128 | 195 | 1 |
1,500,724,435 | 0.419602 | 0.004049 | 247 | 1 |
1,500,724,440 | 0.325712 | 0.004082 | 245 | 1 |
1,500,724,442 | 0.354219 | 0.003731 | 268 | 1 |
1,500,724,443 | 0.313256 | 0.003953 | 253 | 1 |
1,500,724,454 | 0.490566 | 0.004484 | 223 | 1 |
1,500,926,369 | 0.495993 | 0.007143 | 140 | 1 |
1,332,609,300 | 0.683236 | 0.131579 | 38 | 7 |
1,500,129,426 | 0.170495 | 0.025 | 40 | 1 |
1,500,129,430 | 0.486522 | 0.32 | 25 | 12 |
1,500,129,434 | 0.625532 | 0.153846 | 52 | 10 |
1,500,129,576 | 0.667391 | 0.121212 | 33 | 9 |
1,500,129,589 | 0.071959 | 0.026316 | 38 | 1 |
1,500,129,596 | 0.719544 | 0.138889 | 36 | 5 |
1,500,129,600 | 0.588735 | 0.135135 | 37 | 6 |
1,500,129,605 | 0.074866 | 0.025641 | 39 | 1 |
1,500,129,623 | 0.422685 | 0.148148 | 27 | 5 |
1,500,129,638 | 0.045524 | 0.029412 | 34 | 1 |
1,500,129,937 | 0.089641 | 0.012987 | 77 | 1 |
1,500,724,399 | 0.437797 | 0.003774 | 265 | 1 |
1,500,724,434 | 0.483241 | 0.005128 | 195 | 1 |
1,500,724,435 | 0.419602 | 0.004049 | 247 | 1 |
1,500,724,440 | 0.325712 | 0.004082 | 245 | 1 |
1,500,724,442 | 0.354219 | 0.003731 | 268 | 1 |
1,500,724,443 | 0.313256 | 0.003953 | 253 | 1 |
1,500,724,454 | 0.490566 | 0.004484 | 223 | 1 |
1,500,926,369 | 0.495993 | 0.007143 | 140 | 1 |
1,332,609,300 | 0.087232 | 0.026316 | 38 | 1 |
1,500,129,426 | 0.170495 | 0.025 | 40 | 1 |
1,500,129,430 | 0.307826 | 0.04 | 25 | 1 |
1,500,129,434 | 0.082979 | 0.019231 | 52 | 1 |
1,500,129,576 | 0.07337 | 0.030303 | 33 | 1 |
1,500,129,589 | 0.071959 | 0.026316 | 38 | 1 |
1,500,129,596 | 0.071021 | 0.027778 | 36 | 1 |
1,500,129,600 | 0.051541 | 0.027027 | 37 | 1 |
1,500,129,605 | 0.074866 | 0.025641 | 39 | 1 |
1,500,129,623 | 0.139603 | 0.037037 | 27 | 1 |
1,500,129,638 | 0.045524 | 0.029412 | 34 | 1 |
1,500,129,937 | 0.089641 | 0.012987 | 77 | 1 |
1,500,724,399 | 0.437797 | 0.003774 | 265 | 1 |
1,500,724,434 | 0.483241 | 0.005128 | 195 | 1 |
1,500,724,435 | 0.419602 | 0.004049 | 247 | 1 |
1,500,724,440 | 0.325712 | 0.004082 | 245 | 1 |
1,500,724,442 | 0.354219 | 0.003731 | 268 | 1 |
1,500,724,443 | 0.313256 | 0.003953 | 253 | 1 |
1,500,724,454 | 0.490566 | 0.004484 | 223 | 1 |
1,500,926,369 | 0.495993 | 0.007143 | 140 | 1 |
1,332,609,300 | 0.087232 | 0.026316 | 38 | 1 |
1,500,129,426 | 0.170495 | 0.025 | 40 | 1 |
1,500,129,430 | 0.307826 | 0.04 | 25 | 1 |
1,500,129,434 | 0.082979 | 0.019231 | 52 | 1 |
1,500,129,576 | 0.07337 | 0.030303 | 33 | 1 |
1,500,129,589 | 0.071959 | 0.026316 | 38 | 1 |
1,500,129,596 | 0.071021 | 0.027778 | 36 | 1 |
1,500,129,600 | 0.051541 | 0.027027 | 37 | 1 |
1,500,129,605 | 0.074866 | 0.025641 | 39 | 1 |
1,500,129,623 | 0.139603 | 0.037037 | 27 | 1 |
1,500,129,638 | 0.045524 | 0.029412 | 34 | 1 |
1,500,129,937 | 0.089641 | 0.012987 | 77 | 1 |
1,500,724,399 | 0.437797 | 0.003774 | 265 | 1 |
1,500,724,434 | 0.483241 | 0.005128 | 195 | 1 |
1,500,724,435 | 0.419602 | 0.004049 | 247 | 1 |
1,500,724,440 | 0.325712 | 0.004082 | 245 | 1 |
1,500,724,442 | 0.354219 | 0.003731 | 268 | 1 |
1,500,724,443 | 0.313256 | 0.003953 | 253 | 1 |
1,500,724,454 | 0.490566 | 0.004484 | 223 | 1 |
1,500,926,369 | 0.495993 | 0.007143 | 140 | 1 |
1,332,609,300 | 0.087232 | 0.026316 | 38 | 1 |
1,500,129,426 | 0.170495 | 0.025 | 40 | 1 |
1,500,129,430 | 0.307826 | 0.04 | 25 | 1 |
1,500,129,434 | 0.082979 | 0.019231 | 52 | 1 |
1,500,129,576 | 0.07337 | 0.030303 | 33 | 1 |
1,500,129,589 | 0.071959 | 0.026316 | 38 | 1 |
1,500,129,596 | 0.071021 | 0.027778 | 36 | 1 |
1,500,129,600 | 0.051541 | 0.027027 | 37 | 1 |
1,500,129,605 | 0.074866 | 0.025641 | 39 | 1 |
1,500,129,623 | 0.139603 | 0.037037 | 27 | 1 |
1,500,129,638 | 0.045524 | 0.029412 | 34 | 1 |
1,500,129,937 | 0.089641 | 0.012987 | 77 | 1 |
1,500,724,399 | 0.437797 | 0.003774 | 265 | 1 |
1,500,724,434 | 0.483241 | 0.005128 | 195 | 1 |
1,500,724,435 | 0.419602 | 0.004049 | 247 | 1 |
1,500,724,440 | 0.325712 | 0.004082 | 245 | 1 |
1,500,724,442 | 0.354219 | 0.003731 | 268 | 1 |
1,500,724,443 | 0.313256 | 0.003953 | 253 | 1 |
1,500,724,454 | 0.490566 | 0.004484 | 223 | 1 |
1,500,926,369 | 0.495993 | 0.007143 | 140 | 1 |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Zero-Shot LLM Results — Lithology Sequence
Held-out test wells from NoraResearchLab/Lithology-Training-Dataset. Protocol: depth-binned log summary → JSON interval prediction → sequence metrics.
Leaderboard
n_wells depth_accuracy depth_macro_f1 depth_accuracy_confident depth_macro_f1_confident sequence_similarity boundary_f1@2.5ft boundary_f1@5ft boundary_f1@10ft model model_id provider errors
20 0.401143 0.125629 0.128526 0.060687 0.065225 0.018985 0.035493 0.047049 GPT-OSS-120B openai/gpt-oss-120b groq 0
20 0.331283 0.062211 0.000000 0.000000 0.018170 0.000000 0.000000 0.000000 GPT-OSS-20B openai/gpt-oss-20b groq 0
20 0.420128 0.190661 0.571662 0.209073 0.086084 0.064136 0.117951 0.165868 Qwen3.8-27B qwen/qwen3.8-27b groq 1
20 0.260026 0.121048 0.270232 0.105404 0.084505 0.033185 0.070417 0.093080 Llama-3.3-70B meta-llama/Llama-3.3-70B-Instruct hf 4
20 0.293894 0.070221 0.020030 0.016274 0.031103 0.059226 0.108580 0.149582 Qwen2.5-Coder-32B Qwen/Qwen2.5-Coder-32B-Instruct hf 4
20 0.308595 0.147316 0.461473 0.208734 0.092623 0.066691 0.120923 0.169293 Qwen2.5-72B Qwen/Qwen2.5-72B-Instruct hf 0
20 0.331283 0.062211 0.000000 0.000000 0.018170 0.000000 0.000000 0.000000 Mistral-7B-v0.3 mistralai/Mistral-7B-Instruct-v0.3 hf 20
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