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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
built_at: string
inputs: struct<swe_sft: string, terminal_sft: string>
child 0, swe_sft: string
child 1, terminal_sft: string
balance: bool
seed: int64
input_counts: struct<swe: int64, terminal: int64>
child 0, swe: int64
child 1, terminal: int64
stats: struct<total: int64, by_environment: struct<SWE-INFINITE: int64, TERMINAL: int64>, by_environment_su (... 94 chars omitted)
child 0, total: int64
child 1, by_environment: struct<SWE-INFINITE: int64, TERMINAL: int64>
child 0, SWE-INFINITE: int64
child 1, TERMINAL: int64
child 2, by_environment_subset: struct<SWE-INFINITE:default: int64, TERMINAL:stratified: int64, TERMINAL:random: int64>
child 0, SWE-INFINITE:default: int64
child 1, TERMINAL:stratified: int64
child 2, TERMINAL:random: int64
output: string
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
subset: string
environment: string
template_name: string
task_id: int64
score: double
to
{'task_id': Value('int64'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'score': Value('float64'), 'environment': Value('string'), 'subset': Value('string'), 'template_name': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
built_at: string
inputs: struct<swe_sft: string, terminal_sft: string>
child 0, swe_sft: string
child 1, terminal_sft: string
balance: bool
seed: int64
input_counts: struct<swe: int64, terminal: int64>
child 0, swe: int64
child 1, terminal: int64
stats: struct<total: int64, by_environment: struct<SWE-INFINITE: int64, TERMINAL: int64>, by_environment_su (... 94 chars omitted)
child 0, total: int64
child 1, by_environment: struct<SWE-INFINITE: int64, TERMINAL: int64>
child 0, SWE-INFINITE: int64
child 1, TERMINAL: int64
child 2, by_environment_subset: struct<SWE-INFINITE:default: int64, TERMINAL:stratified: int64, TERMINAL:random: int64>
child 0, SWE-INFINITE:default: int64
child 1, TERMINAL:stratified: int64
child 2, TERMINAL:random: int64
output: string
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
subset: string
environment: string
template_name: string
task_id: int64
score: double
to
{'task_id': Value('int64'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'score': Value('float64'), 'environment': Value('string'), 'subset': Value('string'), 'template_name': Value('string')}
because column names don't match
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 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 1683, 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 1869, 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.
task_id int64 | messages list | score float64 | environment string | subset string | template_name string |
|---|---|---|---|---|---|
20,253 | [
{
"role": "system",
"content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher... | 1 | SWE-INFINITE | null | null |
85,000,002 | [
{
"role": "user",
"content": "Translate a Gaussian Process RStan model (rbf) to PyStan 3.10.0.\n\n`/app/stan_r_script.R` — R script using RStan (DO NOT run, just read it)\n`/app/train_X.csv`, `/app/train_y.csv`, `/app/test_X.csv` — input data\n`/app/meta_public.json` — model hyperparameters (length_scale, s... | 1 | TERMINAL | stratified | RstanToPystan |
19,997 | [
{
"role": "system",
"content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher... | 1 | SWE-INFINITE | null | null |
20,605 | [{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED) | 1 | SWE-INFINITE | null | null |
20,599 | [{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED) | 1 | SWE-INFINITE | null | null |
20,025 | [{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED) | 1 | SWE-INFINITE | null | null |
28,538,251 | [{"role":"user","content":"A security audit flagged the SSH daemon configuration as non-compliant.\n(...TRUNCATED) | 1 | TERMINAL | random | SshdHardening |
20,171 | [{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED) | 1 | SWE-INFINITE | null | null |
4,216,175 | [{"role":"user","content":"HTTP traffic is being rejected — the web server appears to be down.\n\n(...TRUNCATED) | 1 | TERMINAL | random | NginxConfigFix |
35,575,298 | [{"role":"user","content":"You have a rotation spec at `/root/rotation_spec.txt` that defines how lo(...TRUNCATED) | 1 | TERMINAL | random | LogRotationScript |
End of preview.
Affine SWE + TERMINAL SFT Pass Datasets
Champion eval pass trajectories for SN120 training.
Files
| File | Description | Records |
|---|---|---|
swe_terminal_sft_pass.jsonl |
Full mix (all SWE + all TERMINAL passes) | 847 |
swe_terminal_sft_pass.jsonl.gz |
Gzip of full mix | 847 |
balanced/swe_terminal_sft_pass.jsonl |
1:1 balanced mix (301 SWE + 301 TERMINAL) | 602 |
balanced/swe_terminal_sft_pass.jsonl.gz |
Gzip of balanced mix | 602 |
Schema
Each line is JSON with: task_id, environment, messages, score (+ subset, template_name for TERMINAL).
Sources
- SWE-INFINITE: 500-task champion eval, 301 passes
- TERMINAL: random 400 + stratified 396 champion eval, 546 passes
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