Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
double
to
List(Value('float64'))
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, 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 120, 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 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 2002, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
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 2092, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
double
to
List(Value('float64'))
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 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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.
prompt string | response string | metadata dict |
|---|---|---|
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
detailed thinking on<|eot_id|><|start_header_id|>user<|end_header_id|>
Every morning Aya goes for a $9$-kilometer-long walk and stops at a coffee shop afterwards. When she walks at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, incl... | <think>
Okay, let's try to solve this problem step by step. So, Aya walks a 9-kilometer walk, and no matter her walking speed, she spends t minutes at the coffee shop. The total time she takes for the walk (including the coffee shop) depends on her speed. We have two different scenarios with two different speeds, and w... | {
"dataset": "aime24",
"problem_index": 0,
"sample_index": 0,
"ground_truth": "204",
"score": 1,
"temp": [
0.8828125,
0.7890625,
0.4921875,
0.8515625,
0.52734375,
0.87890625,
0.73828125,
0.625,
0.875,
0.52734375,
0.6796875,
0.62890625,
0.6875,
0.949218... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
detailed thinking on<|eot_id|><|start_header_id|>user<|end_header_id|>
Every morning Aya goes for a $9$-kilometer-long walk and stops at a coffee shop afterwards. When she walks at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, incl... | <think>
Okay, let's see. Aya walks 9 kilometers each morning. Depending on her speed, the time it takes for the walk changes, but the coffee shop time is always t minutes. We need to find the total time when she walks at s + 1/2 km/h.
First, let me parse the information given.
When she walks at speed s, the total t... | {
"dataset": "aime24",
"problem_index": 0,
"sample_index": 1,
"ground_truth": "204",
"score": 1,
"temp": [
0.8828125,
0.7890625,
0.4921875,
0.8515625,
0.52734375,
0.87890625,
0.73828125,
0.625,
0.78125,
0.890625,
0.8671875,
0.4921875,
0.6953125,
0.4511... |
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
detailed thinking on<|eot_id|><|start_header_id|>user<|end_header_id|>
Every morning Aya goes for a $9$-kilometer-long walk and stops at a coffee shop afterwards. When she walks at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, incl... | <think>
Okay, let's see. I need to solve this problem about Aya's walk and coffee shop time. Hmm. Let me read it again carefully.
So, Aya walks a 9-kilometer walk. When she walks at speed s km/h, the whole trip—walking plus the coffee shop time—takes 4 hours, which includes t minutes in the coffee shop. When she walks... | {
"dataset": "aime24",
"problem_index": 0,
"sample_index": 2,
"ground_truth": "204",
"score": 1,
"temp": [
0.8828125,
0.7890625,
0.4921875,
0.8515625,
0.52734375,
0.87890625,
0.73828125,
0.625,
0.78125,
0.890625,
0.765625,
0.625,
0.71875,
0.7421875,
... |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's see. So the problem is about Aya walking to a coffee shop that's 9 kilometers (...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":3,"ground_truth":"204","score":1.0,"temp":[0.88(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's try to figure out this problem. So, Aya walks 9 kilometers each morning. The t(...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":4,"ground_truth":"204","score":1.0,"temp":[0.88(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's try to figure out this problem step by step. So, Aya walks 9 kilometers each m(...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":5,"ground_truth":"204","score":1.0,"temp":[0.88(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's see. So, the problem is about Aya walking to a coffee shop that's 9 kilometers(...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":6,"ground_truth":"204","score":1.0,"temp":[0.88(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's try to figure out this problem step by step. So, Aya walks a 9-kilometer walk,(...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":7,"ground_truth":"204","score":1.0,"temp":[0.88(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's see. So Aya walks 9 kilometers every morning. The problem gives two different (...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":8,"ground_truth":"204","score":0.0,"temp":[0.89(...TRUNCATED) |
"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\ndetailed thinking on<|eot_id|><|star(...TRUNCATED) | "<think>\nOkay, let's see. So, Aya walks 9 kilometers every morning and stops at a coffee shop. The (...TRUNCATED) | {"dataset":"aime24","problem_index":0,"sample_index":9,"ground_truth":"204","score":1.0,"temp":[0.89(...TRUNCATED) |
End of preview.
No dataset card yet
- Downloads last month
- 66