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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type double to null
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
return array_cast(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1948, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type double to null
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 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1919, 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.
ts string | status string | key string | base_key string | domain string | sample_id string | target_model string | query_model string | response_hash string | messages_hash string | judge_id string | run_tag string | repeat_idx int64 | input_messages list | output_texts list | output_raw string | soft_score null | parsed dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2026-03-02T16:13:57.309232+00:00 | parse_error | math::dapo_math:1002335::microsoft/phi-4::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1002335::microsoft/phi-4 | math | dapo_math:1002335 | microsoft/phi-4 | openai:grm-30b-a3b-math-ifeval-global-829 | 6abfb84c05bff28b267c7e3df33a06affac3be75 | 0864c114a3b26d943b13d64530340c1b0d9bc653 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [
{
"role": "system",
"content": "# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y) based on Query (X). **Crucial:** Your designed rubrics act as the **Reward Function** for RL training. They must precisely capture User Intent and provide a clear gradient signal to guide the Policy Model... | [
"<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a complex number recurrence problem involving a sequence defined by z_{n+1} = (i z_n) / conjugate(z_n), with |z_0| = 1 and z_{2005} = 1. The goal is to find the number of possible values for z_0, which must be on the unit circl... | {
"id": "6f35e53d06844172808d6688ae926d7e",
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"message": {
"content": "<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a complex number recurrence problem involving a seq... | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:22:26.958925+00:00 | parse_error | math::dapo_math:1016906::meta-llama/Llama-3.1-8B-Instruct::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1016906::meta-llama/Llama-3.1-8B-Instruct | math | dapo_math:1016906 | meta-llama/Llama-3.1-8B-Instruct | openai:grm-30b-a3b-math-ifeval-global-829 | 920e62258ea311d1cd95e9869732fd37f81ffe5e | 591c060ccab0acd35f95c96f738ee99d409aeeda | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [
{
"role": "system",
"content": "# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y) based on Query (X). **Crucial:** Your designed rubrics act as the **Reward Function** for RL training. They must precisely capture User Intent and provide a clear gradient signal to guide the Policy Model... | [
"<analysis>\n1. User Intent Analysis:\nThe user is asking for a mathematical solution to a geometric problem involving a family of circles whose centers lie on the parabola y = (1/4)x², and whose radius equals the y-coordinate (i.e., the vertical coordinate) of the center. The goal is to find the boundary of the se... | {
"id": "627930a9b0164f9eb5c7fb42c970fbed",
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"message": {
"content": "<analysis>\n1. User Intent Analysis:\nThe user is asking for a mathematical solution to a geometric problem involving a family of circles w... | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:28:27.329144+00:00 | parse_error | math::dapo_math:1026236::meta-llama/Llama-3.1-8B-Instruct::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1026236::meta-llama/Llama-3.1-8B-Instruct | math | dapo_math:1026236 | meta-llama/Llama-3.1-8B-Instruct | openai:grm-30b-a3b-math-ifeval-global-829 | 4b1bf80f681cf1991222f2c3014de68d2f33af9f | 0cdc1dc70f47795ec8481039968252c96c841a90 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [
{
"role": "system",
"content": "# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y) based on Query (X). **Crucial:** Your designed rubrics act as the **Reward Function** for RL training. They must precisely capture User Intent and provide a clear gradient signal to guide the Policy Model... | [
"<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a combinatorics problem involving a random walk on a cube. Specifically:\n- An ant starts at a vertex of a cube.\n- Every 10 minutes, it moves to an adjacent vertex (along an edge).\n- We are to consider all possible 1-hour jou... | {
"id": "7910e89543424be4b414b8b888a43d3f",
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"message": {
"content": "<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a combinatorics problem involving a random walk on ... | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:32:30.671203+00:00 | parse_error | math::dapo_math:1032514::microsoft/phi-4::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1032514::microsoft/phi-4 | math | dapo_math:1032514 | microsoft/phi-4 | openai:grm-30b-a3b-math-ifeval-global-829 | 5efc0549de3459dca09b7c50790c3cb870acdfc0 | 96144583ab5c723b48180b236f1ec6da8195ee7e | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a traffic (...TRUNCATED) | "{\n \"id\": \"0e3246bf9b16476eafe5e8b318fb59b0\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:41:01.543767+00:00 | parse_error | "math::dapo_math:1047978::BytedTsinghua-SIA/DAPO-Qwen-32B::openai:grm-30b-a3b-math-ifeval-global-829(...TRUNCATED) | math::dapo_math:1047978::BytedTsinghua-SIA/DAPO-Qwen-32B | math | dapo_math:1047978 | BytedTsinghua-SIA/DAPO-Qwen-32B | openai:grm-30b-a3b-math-ifeval-global-829 | 8a7fbc79eb0e3f998f3ec2447988c2a640b8c7ae | 80d5dcc594b282369a20b6e8e4c68035175551de | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a problem (...TRUNCATED) | "{\n \"id\": \"025664a9d969480980e96bee3832895a\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:42:48.622641+00:00 | parse_error | math::dapo_math:1051572::microsoft/phi-4::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1051572::microsoft/phi-4 | math | dapo_math:1051572 | microsoft/phi-4 | openai:grm-30b-a3b-math-ifeval-global-829 | fc48e2aa1394aa8d871390310afeaee7565a097d | 3a70bc29afcabed4aba08a614cc9f9355a187765 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a combinat(...TRUNCATED) | "{\n \"id\": \"11855bd30ce546aeab10377cbdab8527\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:51:30.660942+00:00 | parse_error | "math::dapo_math:1064646::BytedTsinghua-SIA/DAPO-Qwen-32B::openai:grm-30b-a3b-math-ifeval-global-829(...TRUNCATED) | math::dapo_math:1064646::BytedTsinghua-SIA/DAPO-Qwen-32B | math | dapo_math:1064646 | BytedTsinghua-SIA/DAPO-Qwen-32B | openai:grm-30b-a3b-math-ifeval-global-829 | d229a7df87f9361f35fa9472b41785120e20b718 | 6790271e85a9198f9fddc14d9d9404dbd96cbbe5 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a combinat(...TRUNCATED) | "{\n \"id\": \"aeaa0a223378429194e983483c1d28ba\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:53:09.210164+00:00 | parse_error | "math::dapo_math:106651::allenai/Olmo-3-7B-Instruct::openai:grm-30b-a3b-math-ifeval-global-829::grm_(...TRUNCATED) | math::dapo_math:106651::allenai/Olmo-3-7B-Instruct | math | dapo_math:106651 | allenai/Olmo-3-7B-Instruct | openai:grm-30b-a3b-math-ifeval-global-829 | f6b74d272390c8bda7f404df71ee183d412d23bb | 06955c336c095824176bbdec5933052a28fd8358 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a minimiza(...TRUNCATED) | "{\n \"id\": \"ac41559b8d92489ca20f750318c23da4\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T16:55:48.583174+00:00 | parse_error | math::dapo_math:1071182::Qwen/Qwen3-8B::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1071182::Qwen/Qwen3-8B | math | dapo_math:1071182 | Qwen/Qwen3-8B | openai:grm-30b-a3b-math-ifeval-global-829 | e528b343dbd6b7c21ed075943f803bcd2a5e890c | 4086c831575e89d53678a1e424d8775dc47e07ba | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a trigonom(...TRUNCATED) | "{\n \"id\": \"d68347f0e9564921850acfece9c96cde\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
2026-03-02T17:09:00.968074+00:00 | parse_error | math::dapo_math:1094148::microsoft/phi-4::openai:grm-30b-a3b-math-ifeval-global-829::grm_idx1::0 | math::dapo_math:1094148::microsoft/phi-4 | math | dapo_math:1094148 | microsoft/phi-4 | openai:grm-30b-a3b-math-ifeval-global-829 | 42fcc212f53e50ead9202dd706b2d372a06d2550 | f18ffb952f1e706ebbc0c9487b0c18f9b42386e1 | openai:grm-30b-a3b-math-ifeval-global-829 | grm_idx1 | 0 | [{"role":"system","content":"# Role: Reward Supervisor & RL Alignment Expert\nEvaluate responses (Y)(...TRUNCATED) | ["<analysis>\n1. User Intent Analysis:\nThe user is asking for a step-by-step solution to a math pro(...TRUNCATED) | "{\n \"id\": \"1a61e3aed1ae4e959febeb9a11760504\",\n \"choices\": [\n {\n \"finish_reason\(...TRUNCATED) | null | {
"parse_error": "cannot_parse_soft_score"
} |
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