Datasets — observations & calibration
Collection
REAP layerwise observations, calibration sets, and training data. • 37 items • Updated
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type string to null
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2233, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, 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 2095, in cast_array_to_feature
return array_cast(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1957, 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 string 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 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.
sample_id string | sample_index int64 | category string | paper_source string | repo_id string | config null | split string | source_index int64 | text_sha256 string | text_chars_sent int64 | observation_method string | salience_definition string | response dict | response_sha256 string | error null | salience dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
code_generation:000000:d3340fcc25c7 | 0 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 0 | d3340fcc25c7f9b0d94c98b68002c63847bc2fc8ffbe65a9886921fb09aada30 | 1,340 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.5822792053222656,"usage":{"prompt_tokens":391,"total_tokens":392,(...TRUNCATED) | e17fa45a1b8845db7ad69a20022a12c66c9058d7b75dc1d22ed9cf3f31c837e9 | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":391,"num_hidden_(...TRUNCATED) |
code_generation:000001:b058e9a7486b | 1 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 1 | b058e9a7486bc50cccfd7a64abbba9b3eaed9c53df396a3676775894811a6ab5 | 2,975 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.7312026023864746,"usage":{"prompt_tokens":1076,"total_tokens":107(...TRUNCATED) | 2a7e341f7253a9282b137a209f5ce120862af19eeff13bbe357a1595663cf917 | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":1076,"num_hidden(...TRUNCATED) |
code_generation:000002:c6747d719ba1 | 2 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 2 | c6747d719ba1ca40869f72259eb1b5a7d1f3338afab82221cc67703affb911ab | 1,616 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.325270414352417,"usage":{"prompt_tokens":373,"total_tokens":374,"(...TRUNCATED) | 42dbc059218e199ab6de202a8b209883321fe7e208ee602b3d29af18e7784c1f | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":373,"num_hidden_(...TRUNCATED) |
code_generation:000003:ce77e3fe8d7e | 3 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 3 | ce77e3fe8d7e636dc7fc395d83a5e0e09b7f44b9cc54a0f940098c380170cd79 | 4,619 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.6024377346038818,"usage":{"prompt_tokens":1046,"total_tokens":104(...TRUNCATED) | f0b5a0136fd09defc6d17d24927c72f4162caeecf0ddd9c12efae676b1cdfebd | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":1046,"num_hidden(...TRUNCATED) |
code_generation:000004:f25badb8260f | 4 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 4 | f25badb8260f38297db5512a3dace26e1d3090a24046d0e294cf899726801f97 | 2,687 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.5020055770874023,"usage":{"prompt_tokens":565,"total_tokens":566,(...TRUNCATED) | 4aeb272f66ed856334543e8a9e0a25fbc13b0039fa4d088cb51c1c9869764cfd | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":565,"num_hidden_(...TRUNCATED) |
code_generation:000005:6c3abee3aa84 | 5 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 5 | 6c3abee3aa843c40836bed600e7e81a660044548afa87e9b84089cd45080accf | 3,295 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.573305606842041,"usage":{"prompt_tokens":881,"total_tokens":882,"(...TRUNCATED) | 2651730eb1be984be7433e6cde5c9cc12611861c8c7d59a8f8cef37b58bedecf | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":881,"num_hidden_(...TRUNCATED) |
code_generation:000006:20b2197d31da | 6 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 6 | 20b2197d31da7c5d958dd8098ea896dca4e3fee6ee2d99fd5ee5d617b0dcb68c | 1,812 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.30707693099975586,"usage":{"prompt_tokens":490,"total_tokens":491(...TRUNCATED) | d677c6382c3823089f1d895038005f550a92ff8181ed45ecc523bec7a2a87c91 | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":490,"num_hidden_(...TRUNCATED) |
code_generation:000007:d55d4734762c | 7 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 7 | d55d4734762c0dd38c852b9e7849e04f08b6778b51199d365c53b7c9a3c07e63 | 1,214 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.2563588619232178,"usage":{"prompt_tokens":281,"total_tokens":282,(...TRUNCATED) | 3bc385c03e5f3fd6c797e5ba59c369383a5782a56f1836a92b1877e50dda9ea2 | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":281,"num_hidden_(...TRUNCATED) |
code_generation:000008:54fe75ea3fa7 | 8 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 8 | 54fe75ea3fa73ecaa58fd7b732141c165df573d5e98f9688ca5602e1fb99fdcc | 3,571 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.5203666687011719,"usage":{"prompt_tokens":840,"total_tokens":841,(...TRUNCATED) | b442c38638a878a7bcae3e256e15c2501f683540359d58fb68058dd3b52bb984 | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":840,"num_hidden_(...TRUNCATED) |
code_generation:000009:649f2574aca3 | 9 | code_generation | evol-codealpaca | theblackcat102/evol-codealpaca-v1 | null | train | 9 | 649f2574aca3a480e882b94a7e850f4c487f9c6a6f0e72e388850cf87c2001b4 | 950 | sglang_builtin_return_routed_experts_no_model_patch | "SGLang returns top-k routed expert IDs, not gate probabilities. Per-sample salience_score is rank_d(...TRUNCATED) | {"status_code":200,"elapsed_sec":0.2537510395050049,"usage":{"prompt_tokens":274,"total_tokens":275,(...TRUNCATED) | 8737eb4b3a2f074e4a20976e7bd49db01d3ccf107fe8800f30eca7620465ba4c | null | {"method":"sglang_return_routed_experts_topk_ids","tensor_shape":{"observed_tokens":274,"num_hidden_(...TRUNCATED) |
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