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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 371 new columns ({'val/repetition', 'val-aux/aime25/index/worst@8/std', 'val-aux/aime25/reward/mean@32', 'val-aux/aime25/inlength/worst@4/std', 'val-aux/aime25/acc/worst@2/mean', 'val-aux/aime24/inlength/worst@8/std', 'val-aux/aime24/index/worst@16/std', 'val-aux/aime25/reward/worst@8/std', 'val-aux/aime24/score/best@2/std', 'val-aux/aime24/index/best@32/std', 'val-aux/aime24/index/worst@32/std', 'val-aux/aime24/penalty/worst@4/mean', 'val-aux/aime24/reward/worst@4/mean', 'val-aux/math500/format_score/mean@1', 'val-core/aime25/acc/best@32/mean', 'val-aux/aime24/score/worst@32/std', 'val-aux/aime25/acc/best@8/mean', 'val-aux/aime24/penalty/best@32/mean', 'val-aux/aime25/format_score/worst@8/std', 'val-aux/aime24/length/best@2/mean', 'val-aux/aime24/reward/best@8/mean', 'val-aux/aime25/reward/best@32/std', 'val-aux/aime25/inlength/worst@16/mean', 'val-aux/aime24/format_score/worst@2/mean', 'val-aux/aime25/penalty/best@2/mean', 'val-aux/aime25/length/worst@4/mean', 'val-aux/aime24/length/best@32/mean', 'val-aux/aime24/index/best@4/std', 'val-aux/aime25/length/worst@8/std', 'val-aux/aime24/penalty/best@4/std', 'val-aux/aime24/length/std@32', 'val-aux/aime24/reward/worst@2/std', 'val_response_length/math500/mean', 'val-aux/aime24/length/worst@2/mean', 'val-aux/aime25/acc/worst@32/mean', 'val-aux/aime25/acc/worst@4/std', 'val-aux/aime24/penalty/worst@2/mean', 'val-aux/aime24/index/best@2/std', 'val-aux/aime24/index/worst@32/mean', 'val-aux/aime25/penalty/worst@4/mean', 'val-aux/aime24/acc/worst@32/
...
ux/aime25/score/worst@32/std', 'val-aux/aime25/format_score/worst@16/mean', 'val-aux/aime24/acc/best@2/mean', 'val-aux/aime24/format_score/best@4/mean', 'val-aux/aime25/format_score/best@32/std', 'val-aux/aime25/index/best@8/mean', 'val-aux/aime25/format_score/worst@4/mean', 'val-aux/aime24/format_score/worst@16/mean', 'val-aux/aime25/score/worst@4/mean', 'val-aux/aime24/reward/mean@32', 'val-aux/aime25/inlength/mean@32', 'val-core/math500/acc/mean@1', 'val-aux/aime24/score/worst@16/std', 'val-aux/aime24/penalty/best@2/mean', 'val-aux/aime24/penalty/worst@32/std', 'val-aux/aime24/index/best@16/std', 'val-aux/aime25/index/worst@2/std', 'val-aux/aime24/score/best@4/std', 'val-aux/aime24/index/mean@32', 'val-aux/aime25/inlength/best@2/std', 'val-aux/aime25/inlength/worst@2/mean', 'val-aux/aime24/penalty/best@8/std', 'val-aux/aime25/score/best@2/std', 'val-aux/aime24/format_score/worst@32/mean', 'val-aux/aime24/inlength/worst@4/std', 'val-aux/aime24/inlength/worst@8/mean', 'val-aux/aime24/length/worst@32/std', 'val-aux/aime24/reward/worst@4/std', 'val-aux/aime24/inlength/best@8/mean', 'val-aux/aime24/reward/best@32/std', 'val-aux/aime25/score/worst@8/mean', 'val-core/save_overall_score', 'val-aux/aime25/reward/worst@16/mean', 'val-aux/aime25/acc/best@2/std', 'val-aux/aime24/penalty/best@16/mean', 'val-aux/aime25/reward/best@16/mean', 'val-aux/aime24/format_score/best@8/std', 'val-aux/aime25/index/std@32', 'val-aux/aime24/reward/best@2/mean', 'val-aux/aime25/inlength/best@8/mean'}) and 13 missing columns ({'inlength', 'penalty', 'acc', 'extracted_gt', 'sources', 'score', 'format_score', 'output', 'index', 'step', 'reward', 'input', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/JasperHaozhe/qw25_7b_newlogs/val/0_summary.json (at revision adb77ede9f3b8314f294da79b6cb03adf130088c)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
val/score-all: double
val/entropy-all: double
val/entropy-time: double
val/think_end: double
val/repetition: double
val-aux/aime24/reward/mean@32: double
val-aux/aime24/reward/std@32: double
val-aux/aime24/reward/best@2/mean: double
val-aux/aime24/reward/best@2/std: double
val-aux/aime24/reward/worst@2/mean: double
val-aux/aime24/reward/worst@2/std: double
val-aux/aime24/reward/best@4/mean: double
val-aux/aime24/reward/best@4/std: double
val-aux/aime24/reward/worst@4/mean: double
val-aux/aime24/reward/worst@4/std: double
val-aux/aime24/reward/best@8/mean: double
val-aux/aime24/reward/best@8/std: double
val-aux/aime24/reward/worst@8/mean: double
val-aux/aime24/reward/worst@8/std: double
val-aux/aime24/reward/best@16/mean: double
val-aux/aime24/reward/best@16/std: double
val-aux/aime24/reward/worst@16/mean: double
val-aux/aime24/reward/worst@16/std: double
val-aux/aime24/reward/best@32/mean: double
val-aux/aime24/reward/best@32/std: double
val-aux/aime24/reward/worst@32/mean: double
val-aux/aime24/reward/worst@32/std: double
val-aux/aime24/score/mean@32: double
val-aux/aime24/score/std@32: double
val-aux/aime24/score/best@2/mean: double
val-aux/aime24/score/best@2/std: double
val-aux/aime24/score/worst@2/mean: double
val-aux/aime24/score/worst@2/std: double
val-aux/aime24/score/best@4/mean: double
val-aux/aime24/score/best@4/std: double
val-aux/aime24/score/worst@4/mean: double
val-aux/aime24/score/worst@4/std: double
val-aux/aime24/score/best@8/mean: double
val-aux/aime24/scor
...
: double
val-aux/aime25/inlength/worst@32/std: double
val-aux/aime25/index/mean@32: double
val-aux/aime25/index/std@32: double
val-aux/aime25/index/best@2/mean: double
val-aux/aime25/index/best@2/std: double
val-aux/aime25/index/worst@2/mean: double
val-aux/aime25/index/worst@2/std: double
val-aux/aime25/index/best@4/mean: double
val-aux/aime25/index/best@4/std: double
val-aux/aime25/index/worst@4/mean: double
val-aux/aime25/index/worst@4/std: double
val-aux/aime25/index/best@8/mean: double
val-aux/aime25/index/best@8/std: double
val-aux/aime25/index/worst@8/mean: double
val-aux/aime25/index/worst@8/std: double
val-aux/aime25/index/best@16/mean: double
val-aux/aime25/index/best@16/std: double
val-aux/aime25/index/worst@16/mean: double
val-aux/aime25/index/worst@16/std: double
val-aux/aime25/index/best@32/mean: double
val-aux/aime25/index/best@32/std: double
val-aux/aime25/index/worst@32/mean: double
val-aux/aime25/index/worst@32/std: double
val-aux/math500/reward/mean@1: double
val-aux/math500/score/mean@1: double
val-aux/math500/format_score/mean@1: double
val-aux/math500/penalty/mean@1: double
val-core/math500/acc/mean@1: double
val-aux/math500/length/mean@1: double
val-aux/math500/inlength/mean@1: double
val-aux/math500/index/mean@1: double
val_response_length/aime24/mean: double
val_response_length/aime25/mean: double
val_response_length/math500/mean: double
val_response_length/overall_mean: double
val_response_length/overall_max: int64
val-core/save_overall_score: double
to
{'input': Value('string'), 'output': Value('string'), 'score': Value('float64'), 'sources': Value('string'), 'step': Value('int64'), 'reward': Value('float64'), 'format_score': Value('float64'), 'penalty': Value('float64'), 'acc': Value('bool'), 'extracted_gt': Value('string'), 'length': Value('int64'), 'inlength': Value('int64'), 'index': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, 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 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 371 new columns ({'val/repetition', 'val-aux/aime25/index/worst@8/std', 'val-aux/aime25/reward/mean@32', 'val-aux/aime25/inlength/worst@4/std', 'val-aux/aime25/acc/worst@2/mean', 'val-aux/aime24/inlength/worst@8/std', 'val-aux/aime24/index/worst@16/std', 'val-aux/aime25/reward/worst@8/std', 'val-aux/aime24/score/best@2/std', 'val-aux/aime24/index/best@32/std', 'val-aux/aime24/index/worst@32/std', 'val-aux/aime24/penalty/worst@4/mean', 'val-aux/aime24/reward/worst@4/mean', 'val-aux/math500/format_score/mean@1', 'val-core/aime25/acc/best@32/mean', 'val-aux/aime24/score/worst@32/std', 'val-aux/aime25/acc/best@8/mean', 'val-aux/aime24/penalty/best@32/mean', 'val-aux/aime25/format_score/worst@8/std', 'val-aux/aime24/length/best@2/mean', 'val-aux/aime24/reward/best@8/mean', 'val-aux/aime25/reward/best@32/std', 'val-aux/aime25/inlength/worst@16/mean', 'val-aux/aime24/format_score/worst@2/mean', 'val-aux/aime25/penalty/best@2/mean', 'val-aux/aime25/length/worst@4/mean', 'val-aux/aime24/length/best@32/mean', 'val-aux/aime24/index/best@4/std', 'val-aux/aime25/length/worst@8/std', 'val-aux/aime24/penalty/best@4/std', 'val-aux/aime24/length/std@32', 'val-aux/aime24/reward/worst@2/std', 'val_response_length/math500/mean', 'val-aux/aime24/length/worst@2/mean', 'val-aux/aime25/acc/worst@32/mean', 'val-aux/aime25/acc/worst@4/std', 'val-aux/aime24/penalty/worst@2/mean', 'val-aux/aime24/index/best@2/std', 'val-aux/aime24/index/worst@32/mean', 'val-aux/aime25/penalty/worst@4/mean', 'val-aux/aime24/acc/worst@32/
...
ux/aime25/score/worst@32/std', 'val-aux/aime25/format_score/worst@16/mean', 'val-aux/aime24/acc/best@2/mean', 'val-aux/aime24/format_score/best@4/mean', 'val-aux/aime25/format_score/best@32/std', 'val-aux/aime25/index/best@8/mean', 'val-aux/aime25/format_score/worst@4/mean', 'val-aux/aime24/format_score/worst@16/mean', 'val-aux/aime25/score/worst@4/mean', 'val-aux/aime24/reward/mean@32', 'val-aux/aime25/inlength/mean@32', 'val-core/math500/acc/mean@1', 'val-aux/aime24/score/worst@16/std', 'val-aux/aime24/penalty/best@2/mean', 'val-aux/aime24/penalty/worst@32/std', 'val-aux/aime24/index/best@16/std', 'val-aux/aime25/index/worst@2/std', 'val-aux/aime24/score/best@4/std', 'val-aux/aime24/index/mean@32', 'val-aux/aime25/inlength/best@2/std', 'val-aux/aime25/inlength/worst@2/mean', 'val-aux/aime24/penalty/best@8/std', 'val-aux/aime25/score/best@2/std', 'val-aux/aime24/format_score/worst@32/mean', 'val-aux/aime24/inlength/worst@4/std', 'val-aux/aime24/inlength/worst@8/mean', 'val-aux/aime24/length/worst@32/std', 'val-aux/aime24/reward/worst@4/std', 'val-aux/aime24/inlength/best@8/mean', 'val-aux/aime24/reward/best@32/std', 'val-aux/aime25/score/worst@8/mean', 'val-core/save_overall_score', 'val-aux/aime25/reward/worst@16/mean', 'val-aux/aime25/acc/best@2/std', 'val-aux/aime24/penalty/best@16/mean', 'val-aux/aime25/reward/best@16/mean', 'val-aux/aime24/format_score/best@8/std', 'val-aux/aime25/index/std@32', 'val-aux/aime24/reward/best@2/mean', 'val-aux/aime25/inlength/best@8/mean'}) and 13 missing columns ({'inlength', 'penalty', 'acc', 'extracted_gt', 'sources', 'score', 'format_score', 'output', 'index', 'step', 'reward', 'input', 'length'}).
This happened while the json dataset builder was generating data using
hf://datasets/JasperHaozhe/qw25_7b_newlogs/val/0_summary.json (at revision adb77ede9f3b8314f294da79b6cb03adf130088c)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
input string | output string | score float64 | sources string | step int64 | reward float64 | format_score float64 | penalty float64 | acc bool | extracted_gt string | length int64 | inlength int64 | index int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | 1. First, let's analyze the problem and the given information. We have a torus $\mathcal T$ formed by revolving a circle with radius $3$ around an axis in the plane, which is a distance $6$ from the center of the circle. We also have a sphere of radius $11$ that is internally tangent to $\mathcal T$ along a circle with... | 0 | aime24 | 0 | 0 | 1 | 0 | false | 127 | 831 | 317 | 15 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the given information and the properties of the polygon.
We have an 11-sided non-convex simple polygon with the following properties:
1. The area of $A_iA_1A_{i+1}$ is 1 for each $2 \leq i \leq 10$.
2. $\cos(\angle A_iA_1A_{i+1}) = \frac{12}{13}$ for each $2 \leq i \leq 10$.
3. The perimeter of $A... | 0 | aime25 | 0 | 0 | 0 | 0 | false | 19 | 15,000 | 397 | 26 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the given problem. We are asked to find the number of triples of nonnegative integers (a, b, c) that satisfy the following two equations:
1. \(a + b + c = 300\)
2. \(a^2b + a^2c + b^2a + b^2c + c^2a + c^2b = 6,000,000\)
To solve this problem, we can start by simplifying the second equation. Notic... | 0 | aime24 | 0 | 0 | 0 | 0 | false | 601 | 15,000 | 263 | 11 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | The given inequality is \(\frac{1}{x - 5} > 0\). To solve this, we need to determine the values of \(x\) for which the fraction is positive.
First, let's consider the numerator and denominator separately. The numerator is 1, which is always positive. Therefore, the sign of the fraction depends on the sign of the deno... | 1 | math500 | 0 | 1 | 1 | 0 | true | (5,\infty) | 212 | 202 | 312 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | To find the value of f(-2) + f(-1) + f(0), we need to evaluate the function f(x) at x = -2, x = -1, and x = 0, and then add the results together.
First, let's evaluate f(-2):
f(-2) = (3(-2) - 2) / (-2 - 2)
f(-2) = (-6 - 2) / (-4)
f(-2) = -8 / -4
f(-2) = 2
Next, let's evaluate f(-1):
f(-1) = (3(-1) - 2) / (-1 - 2)
f(-... | 1 | math500 | 0 | 1 | 1 | 0 | true | \frac{14}{3} | 382 | 224 | 2 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the problem. We are given a 13th root of unity, denoted as ω, and we need to find the remainder when the product of (2 - 2ω^k + ω^(2k)) for k from 0 to 12 is divided by 1000.
To solve this, we can start by simplifying the expression inside the product. We can rewrite it as:
2 - 2ω^k + ω^(2k) = 2(... | 0 | aime24 | 0 | 0 | 0 | 0 | false | 321 | 15,000 | 237 | 28 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the problem. We are given a triangle ABC with angles ∠BAC = 84°, ∠ABC = 60°, and ∠ACB = 36°. We are also given the midpoints D, E, and F of sides BC, AC, and AB, respectively. The circumcircle of triangle DEF intersects BD, AE, and AF at points G, H, and J, respectively. We need to find the sum of ... | 0 | aime25 | 0 | 0 | 1 | 0 | false | 336^\circ | 546 | 399 | 19 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the problem. We have an inequality involving an absolute value expression and a quadratic expression. The inequality is:
\[\frac{|x^2 - 81|}{x^2 - 36x} < 0\]
To solve this inequality, we need to consider the properties of absolute values and the behavior of the quadratic expression in the denomin... | 0 | math500 | 0 | 0 | 1 | 0 | false | (0,9) \cup (9,36) | 456 | 206 | 380 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the problem. We have six points A, B, C, D, E, and F lying in a straight line in that order. We are given the distances between some of these points and a point G not on the line. We need to find the area of triangle BGE.
To find the area of triangle BGE, we can use the formula for the area of a t... | 0 | aime25 | 0 | 0 | 0 | 0 | false | 468 | 679 | 285 | 15 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | To solve this problem, we need to find the distance from point I to each of the faces of the tetrahedron. This distance is known as the inradius of the tetrahedron.
First, let's find the volume of the tetrahedron. We can use the Cayley-Menger determinant to find the volume of a tetrahedron given its edge lengths. The ... | 0 | aime24 | 0 | 0 | 0 | 0 | false | 104 | 15,000 | 329 | 23 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | To solve this problem, we need to consider the paths of length 16 that follow the lines from the lower left corner to the upper right corner on an 8x8 grid. We are looking for the number of such paths that change direction exactly four times.
First, let's analyze the problem. We have an 8x8 grid, which means we need t... | 0 | aime24 | 0 | 0 | 1 | 0 | false | 294 | 495 | 231 | 17 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | First, let's analyze the problem. We are given a 13th root of unity, denoted as ω, and we need to find the remainder when the product of (2 - 2ω^k + ω^(2k)) for k from 0 to 12 is divided by 1000.
To solve this, we can start by simplifying the expression inside the product. We can rewrite it as:
2 - 2ω^k + ω^(2k) = 2(... | 0 | aime24 | 0 | 0 | 0 | 0 | false | 321 | 15,000 | 237 | 28 |
A conversation between User and Assistant. The user asks a question, and the assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process is enclosed within <think> </think> tags and <answer> </answer> tags, i.e., <think> reaso... | 1. First, let's determine the number of days in February. February has 28 days in a common year and 29 days in a leap year. Since we don't have any information about the year, we'll assume it's a common year with 28 days.
2. Next, we need to find out how many times Suzanne walks four miles in February. Since she walks ... | 1 | math500 | 0 | 1 | 1 | 0 | true | 36 | 194 | 199 | 128 |
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