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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
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 281, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
schema_version string | run_id string | row_index int64 | source_row dict | task_request dict | task_status dict |
|---|---|---|---|---|---|
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 0 | {
"prompt": [
{
"role": "user",
"content": "# Young Integral Numerical Approximator\n\n## Task Goal\n\nImplement a numerical approximator for the **Young integral** of nonlinear operators along Hölder continuous paths. The Young integral generalizes Riemann-Stieltjes integration to settings where clas... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00000-arxiv_1205_1735_idea0",
"instruction": "# Young Integral Numerical Approximator\n\n## Task Goal\n\nImplement a numerical approximator for the **Young integral** of nonlinear operators along Hölder continuous paths. The You... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00000-arxiv_1205_1735_idea0",
"status": "completed",
"total_sessions": 1,
"completed_sessions": 1,
"results": [
{
"session_id": "sk-polar-a33ecfbc-f849-4740-94ef-94ce95d909e4",
"task_id": "eval-curriculum-t... |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 1 | {
"prompt": [
{
"role": "user",
"content": "# Fractional Brownian Motion Simulator with Irregularity Verification\n\n## Objective\n\nImplement a Python module that generates d-dimensional fractional Brownian motion (fBm) paths and computes associated irregularity measures.\n\n## Background\n\nFraction... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00001-arxiv_1205_1735_idea1",
"instruction": "# Fractional Brownian Motion Simulator with Irregularity Verification\n\n## Objective\n\nImplement a Python module that generates d-dimensional fractional Brownian motion (fBm) paths... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00001-arxiv_1205_1735_idea1",
"status": "completed",
"total_sessions": 1,
"completed_sessions": 1,
"results": [
{
"session_id": "sk-polar-90b4bb56-c5af-4cbc-9dc7-c3f86b7bacd0",
"task_id": "eval-curriculum-t... |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 2 | {
"prompt": [
{
"role": "user",
"content": "# Besov-Hölder Norm Calculator via Littlewood-Paley Decomposition\n\n## Goal\n\nImplement a Python module that computes the Besov-Hölder norm of discretized functions using Littlewood-Paley decomposition. This norm characterizes function smoothness and is de... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00002-arxiv_1205_1735_idea2",
"instruction": "# Besov-Hölder Norm Calculator via Littlewood-Paley Decomposition\n\n## Goal\n\nImplement a Python module that computes the Besov-Hölder norm of discretized functions using Littlewoo... | {
"task_id": "eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00002-arxiv_1205_1735_idea2",
"status": "completed",
"total_sessions": 1,
"completed_sessions": 1,
"results": [
{
"session_id": "sk-polar-86923c73-bb70-42d6-97d5-dcbf2c2fc006",
"task_id": "eval-curriculum-t... |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 3 | {"prompt":[{"role":"user","content":"# Matrix Factorization Verifier for Landau-Ginzburg Potentials\(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00003-arxiv_12(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00003-arxiv_12(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 4 | {"prompt":[{"role":"user","content":"# Quantum Dimension Calculator for Landau-Ginzburg Defects\n\n#(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00004-arxiv_12(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00004-arxiv_12(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 5 | {"prompt":[{"role":"user","content":"# ADE Singularity Potential Classifier\n\n## Goal\n\nBuild a cl(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00005-arxiv_12(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00005-arxiv_12(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 6 | {"prompt":[{"role":"user","content":"# Asymptotic-Preserving Euler-Limit Verifier\n\n## Goal\n\nBuil(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00006-arxiv_14(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00006-arxiv_14(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 7 | {"prompt":[{"role":"user","content":"# Lid-Driven Cavity Flow: Mesh Generator and Solver\n\n## Task (...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00007-arxiv_14(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00007-arxiv_14(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 8 | {"prompt":[{"role":"user","content":"# Four-Band Effective Hamiltonian Solver\n\n## Task\n\nImplemen(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00008-arxiv_14(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00008-arxiv_14(...TRUNCATED) |
polar_evaluation_record/v1 | curriculum-teacher-arxiv455-registry-20260712t123314z | 9 | {"prompt":[{"role":"user","content":"# Z₂ Topological Invariant Calculator\n\n## Goal\n\nImplement(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00009-arxiv_14(...TRUNCATED) | {"task_id":"eval-curriculum-teacher-arxiv455-registry-20260712t123314z-terminal_bench-00009-arxiv_14(...TRUNCATED) |
End of preview.
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Check out the documentation for more information.
Codex + Claude ArXiv teacher rollouts
This is the supersquash-safe archive of the AWS Bedrock Claude Sonnet 5 teacher run through the Codex harness.
train455/evaluation_records.jsonl: 455 ArXiv training-task rollouts.eval64/evaluation_records.jsonl: final post-recovery 64 ArXiv evaluation-task rollouts.- Each split includes
run_metadata.jsonandsummary.json. eval64/sessions.tgzis the final eval recovery checkpoint.manifest.jsonpins source revisions, task bundles, row counts, sizes, SHA-256 hashes, model/harness identity, and canonical run paths.
Use evaluation_records.jsonl for replay and curriculum construction. It contains the task request, Codex prompt/history, Claude assistant/tool messages, tool schemas, verifier metadata, reward, and session identity. Do not use the eval run's intermediate recovered_records.jsonl; it contains only 63 rows.
Historical source revision: 63a13d5d650417602a287e879458633b881fd15e in Siyuc/polar.
This dedicated dataset contains only the compact teacher archive, so it remains
recoverable independently of any Siyuc/polar history supersquash.
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