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Duplicate
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
_data_files: list<item: struct<filename: string>>
  child 0, item: struct<filename: string>
      child 0, filename: string
_fingerprint: string
_format_columns: null
_format_kwargs: struct<>
_format_type: null
_output_all_columns: bool
_split: null
text_action: string
trun: bool
short_term_context: string
logprob: double
plan_completed: null
action: string
adaptive_replan: null
output_token_length: int64
judge_feedback: string
term: bool
reward: double
end_status: string
plan: string
long_term_context: string
step: int64
raw_output: string
input_token_length: int64
to
{'step': Value('int64'), 'action': Value('string'), 'text_action': Value('string'), 'plan': Value('string'), 'judge_feedback': Value('string'), 'raw_output': Value('string'), 'reward': Value('float64'), 'term': Value('bool'), 'trun': Value('bool'), 'end_status': Value('string'), 'short_term_context': Value('string'), 'long_term_context': Value('string'), 'logprob': Value('float64'), 'input_token_length': Value('int64'), 'output_token_length': Value('int64'), 'plan_completed': Value('null'), 'adaptive_replan': Value('null')}
because column names don't match
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 299, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              _data_files: list<item: struct<filename: string>>
                child 0, item: struct<filename: string>
                    child 0, filename: string
              _fingerprint: string
              _format_columns: null
              _format_kwargs: struct<>
              _format_type: null
              _output_all_columns: bool
              _split: null
              text_action: string
              trun: bool
              short_term_context: string
              logprob: double
              plan_completed: null
              action: string
              adaptive_replan: null
              output_token_length: int64
              judge_feedback: string
              term: bool
              reward: double
              end_status: string
              plan: string
              long_term_context: string
              step: int64
              raw_output: string
              input_token_length: int64
              to
              {'step': Value('int64'), 'action': Value('string'), 'text_action': Value('string'), 'plan': Value('string'), 'judge_feedback': Value('string'), 'raw_output': Value('string'), 'reward': Value('float64'), 'term': Value('bool'), 'trun': Value('bool'), 'end_status': Value('string'), 'short_term_context': Value('string'), 'long_term_context': Value('string'), 'logprob': Value('float64'), 'input_token_length': Value('int64'), 'output_token_length': Value('int64'), 'plan_completed': Value('null'), 'adaptive_replan': Value('null')}
              because column names don't match
              
              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 dataset

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step
int64
action
string
text_action
string
plan
string
judge_feedback
string
raw_output
string
reward
float64
term
bool
trun
bool
end_status
string
short_term_context
string
long_term_context
string
logprob
float64
input_token_length
int64
output_token_length
int64
plan_completed
null
adaptive_replan
null
0
{"outputs": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5],[0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],[0,0,0,0,0,0,8,8,8,0,0...
{"outputs": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5],[0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],[0,0,0,0,0,0,8,8,8,0,0...
<teacher> </teacher> <student> thought * Input: Grids containing colors 0 (black), 5 (grey), and 8 (azure). * Output: Grids containing colors 0 (black), 5 (grey), 8 (azure), 4 (yellow), and 2 (red). * Looking at the training examples: * There's a 3x3 block of color 8 in each training input. ...
0
false
false
null
No ARC feedback yet.
ARC-AGI task id: 212895b5 Split: evaluation Task JSON without test outputs: {"train":[{"input":[[0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,5,0,0,0,0,0,0,0,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0],[0,0,0,0,0,0,0...
-940.925835
2
12,357
null
null
1
{"outputs": [[[0,2,0,5,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0],[0,4,5,0,4,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,0,0],[0,4,5,2,0,4,5,0,0,4,0,2,0,4,5,5,0,0,0,0,0,0],[0,0,4,5,2,0,4,0,4,0,5,5,4,5,0,0,0,0,0,0,0,0],[0,0,0,4,0,2,0,4,0,2,0,4,0,0,0,5,5,0,0,0,0,5],[0,0,0,4,4,4,8,8,8,0,4,0,0,0,0,0,0,0,5,5,0,0],[0,0,0,0,0,4,8,8,8,4,0,0,0,0,0...
{"outputs": [[[0,2,0,5,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0],[0,4,5,0,4,0,0,0,0,0,4,0,2,0,4,0,0,0,0,0,0,0],[0,4,5,2,0,4,5,0,0,4,0,2,0,4,5,5,0,0,0,0,0,0],[0,0,4,5,2,0,4,0,4,0,5,5,4,5,0,0,0,0,0,0,0,0],[0,0,0,4,0,2,0,4,0,2,0,4,0,0,0,5,5,0,0,0,0,5],[0,0,0,4,4,4,8,8,8,0,4,0,0,0,0,0,0,0,5,5,0,0],[0,0,0,0,0,4,8,8,8,4,0,0,0,0,0...
Your output grid is not even the same size as the input (the rows have different lengths), which is why the evaluator reports a shape error. The task requires you to keep the original grid dimensions and only add new colored cells while preserving the existing 0, 5, and 8 cells. From the training examples the rule is:...
Your output grid is not even the same size as the input (the rows have different lengths), which is why the evaluator reports a shape error. The task requires you to keep the original grid dimensions and only add new colored cells while preserving the existing 0, 5, and 8 cells. From the training examples the rule is:...
<teacher> analysisWe need to give feedback on student's attempt. The student attempted to output a grid but got dimensions mismatched. Also their transformation is wrong; they need to apply rule: place 2s on two diagonal lines through center of 8 block (x+y= sum, x-y = diff), and 4s on lines offset by 2 (sum +/-2 and d...
0
false
false
null
The parsed answer is not a valid ARC grid output. test 0: grid rows must all have the same width
ARC-AGI task id: 212895b5 Split: evaluation Task JSON without test outputs: {"train":[{"input":[[0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,5,0,0,0,0,0,0,0,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0],[0,0,0,0,0,0,0...
-607.146418
2
11,403
null
null
2
{"outputs": [[ [ [0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], [0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], [0,0,5,0,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5], [0,0,0,5,0,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5], [0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],...
{"outputs": [[ [ [0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], [0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], [0,0,5,0,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5], [0,0,0,5,0,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5], [0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],...
You’ve captured the overall idea of drawing the two “main” diagonals with 2 s and the four “off‑diagonal” lines with 4 s, but some of the off‑diagonal cells are missing. In particular, every cell that satisfies **row + col = 15** (or the other off‑diagonal equations) should be painted 4 if it is currently 0, yet severa...
You’ve captured the overall idea of drawing the two “main” diagonals with 2 s and the four “off‑diagonal” lines with 4 s, but some of the off‑diagonal cells are missing. In particular, every cell that satisfies **row + col = 15** (or the other off‑diagonal equations) should be painted 4 if it is currently 0, yet severa...
<teacher> analysisThe user attempted to produce output but got shape mismatch. Likely they produced 21x22? Actually their output grid seems 21 rows but each row length maybe off. Check first row: [0,2,0,5,0,0,0,0,0,0,0,4,0,2,0,0,0,0,0,0,0,0] length 22 okay. But number of rows? They have 21 rows? Count lines: appears 21...
0
false
false
null
0/1 test output grid(s) matched exactly. 1 output grid(s) had the wrong shape.
ARC-AGI task id: 212895b5 Split: evaluation Task JSON without test outputs: {"train":[{"input":[[0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,5,0,0,0,0,0,0,0,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0],[0,0,0,0,0,0,0...
-1,102.343176
2
11,777
null
null
3
{"outputs": [[[0,2,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0],[0,0,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0],[0,0,5,2,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5],[0,0,0,5,2,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5],[0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],[0,0,0,0,0,0,8,8,8...
{"outputs": [[[0,2,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0],[0,0,2,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0],[0,0,5,2,0,0,5,0,0,0,0,0,0,0,5,5,0,0,0,0,0,0,5],[0,0,0,5,2,0,0,0,0,0,5,5,0,5,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,5,5,0,0,0,0,5,5],[0,0,0,0,0,0,8,8,8,0,0,0,0,0,0,0,0,0,5,5,0,0,0],[0,0,0,0,0,0,8,8,8...
Your submission isn’t applying the required transformation – the grid you returned is essentially the same as the input and is wrapped in extra list brackets, which makes the output format invalid for ARC. Remember to produce a single 2‑D grid (no extra outer lists) of the same size as the input, and fill in the 2’s an...
Your submission isn’t applying the required transformation – the grid you returned is essentially the same as the input and is wrapped in extra list brackets, which makes the output format invalid for ARC. Remember to produce a single 2‑D grid (no extra outer lists) of the same size as the input, and fill in the 2’s an...
<teacher> analysisWe need to give feedback on student's attempt. The student's answer gave a giant nested array incorrectly formatted, with extra brackets and maybe non-integer colors? Actually they output a nested list with extra outer brackets and also maybe included non-integer values? They attempted to output somet...
0
false
false
null
The parsed answer is not a valid ARC grid output. test 0: grid cells must be integer colors from 0 to 9
ARC-AGI task id: 212895b5 Split: evaluation Task JSON without test outputs: {"train":[{"input":[[0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,5,0,0,0,0,0,0,0,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0],[0,0,0,0,0,0,0...
-1,087.343318
2
15,702
null
null
4
{"outputs": [[[[4, 2, 4, 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 5, 4, 0, 0, 0, 0, 0, 0, 0, 4, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 2, 4, 0, 5, 0, 0, 0, 4, 2, 4, 0, 5, 5, 0, 0, 0, 0, 0, 0, 5], [0, 0, 0, 5, 2, 4, 0, 0, 0, 4, 5, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 4, 2, 4,...
{"outputs": [[[[4, 2, 4, 5, 0, 0, 0, 0, 0, 0, 0, 0, 4, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 5, 4, 0, 0, 0, 0, 0, 0, 0, 4, 2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 2, 4, 0, 5, 0, 0, 0, 4, 2, 4, 0, 5, 5, 0, 0, 0, 0, 0, 0, 5], [0, 0, 0, 5, 2, 4, 0, 0, 0, 4, 5, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 4, 2, 4,...
Your placement of the 2‑cells follows the pattern of the two main diagonals through the centre of the 3×3 8‑block, which is good. The missing (or incorrect) part is the 4‑cells. In every training example the 4‑cells appear on the four “neighboring” diagonals – i.e., the diagonals whose r + c sum is one unit larger or s...
Your placement of the 2‑cells follows the pattern of the two main diagonals through the centre of the 3×3 8‑block, which is good. The missing (or incorrect) part is the 4‑cells. In every training example the 4‑cells appear on the four “neighboring” diagonals – i.e., the diagonals whose r + c sum is one unit larger or s...
<teacher> analysisWe need to give targeted feedback: identify the most important mistake in the student's attempt. They attempted to place 2s on both diagonals r+c= center sum and c-r= diff, excluding 5 and 8. That seems correct for 2s. For 4s they were uncertain. The student's output only has 2s placed, but missing 4s...
0
false
false
null
0/1 test output grid(s) matched exactly. For outputs with the correct shape, at least one cell color or position is still wrong. Re-check the transformation from the training examples rather than copying local patterns.
ARC-AGI task id: 212895b5 Split: evaluation Task JSON without test outputs: {"train":[{"input":[[0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,5,0,0,0,0,0,0,0,5,0,0,0,0,0,0,5],[0,0,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0],[0,0,0,0,0,0,0...
-298.807986
2
11,208
null
null
5
"{\"outputs\": [[[0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"{\"outputs\": [[[0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"tags only.\n\nIdentify mistake: output JSON structure incorrect: extra outer brackets, missing comm(...TRUNCATED)
"tags only.\n\nIdentify mistake: output JSON structure incorrect: extra outer brackets, missing comm(...TRUNCATED)
"<teacher>\nanalysisWe need to give targeted feedback, identifying most important mistake, without r(...TRUNCATED)
0
false
false
null
"The answer could not be parsed as ARC output JSON. Parser error: could not parse JSON: Expecting ',(...TRUNCATED)
"ARC-AGI task id: 212895b5\nSplit: evaluation\nTask JSON without test outputs:\n{\"train\":[{\"input(...TRUNCATED)
-1,305.272584
2
15,655
null
null
6
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"Your overall idea about the diagonals (the red 2 cells) and the “bridge” 4 cells is on (...TRUNCATED)
"Your overall idea about the diagonals (the red 2 cells) and the “bridge” 4 cells is on (...TRUNCATED)
"<teacher>\nanalysisWe need to give feedback about most important mistake. The student's attempt pro(...TRUNCATED)
0
false
false
null
0/1 test output grid(s) matched exactly. 1 output grid(s) had the wrong shape.
"ARC-AGI task id: 212895b5\nSplit: evaluation\nTask JSON without test outputs:\n{\"train\":[{\"input(...TRUNCATED)
-1,236.376474
2
13,079
null
null
7
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,0,0,2,0,0,0,0,0,(...TRUNCATED)
"Your output grid is not rectangular: several rows contain fewer cells than the others, so the grid (...TRUNCATED)
"Your output grid is not rectangular: several rows contain fewer cells than the others, so the grid (...TRUNCATED)
"<teacher>\nanalysisWe need to give targeted feedback: identify most important mistake in student's (...TRUNCATED)
0
false
false
null
The parsed answer is not a valid ARC grid output. test 0: grid rows must all have the same width
"ARC-AGI task id: 212895b5\nSplit: evaluation\nTask JSON without test outputs:\n{\"train\":[{\"input(...TRUNCATED)
-913.866463
2
13,635
null
null
8
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,(...TRUNCATED)
"{\"outputs\": [[[0,0,0,5,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0],[0,0,5,0,0,0,0,0,0,4,0,0,0,0,0,0,0,0,(...TRUNCATED)
"You correctly identified that the red “2” cells lie on the two diagonals through the centre of (...TRUNCATED)
"You correctly identified that the red “2” cells lie on the two diagonals through the centre of (...TRUNCATED)
"<teacher>\nanalysisWe need to give targeted feedback identifying the most important mistake. The st(...TRUNCATED)
0
false
false
null
"0/1 test output grid(s) matched exactly. For outputs with the correct shape, at least one cell colo(...TRUNCATED)
"ARC-AGI task id: 212895b5\nSplit: evaluation\nTask JSON without test outputs:\n{\"train\":[{\"input(...TRUNCATED)
-973.49441
2
14,490
null
null
9
"{\"outputs\": [[[0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,(...TRUNCATED)
"{\"outputs\": [[[0,2,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,4,0,0,2,0,0,0,0,(...TRUNCATED)
"Your output grid has rows of different lengths, which makes it invalid for the ARC format. The test(...TRUNCATED)
"Your output grid has rows of different lengths, which makes it invalid for the ARC format. The test(...TRUNCATED)
"<teacher>\nanalysisWe need to give feedback about the student's attempt. Their answer is an output (...TRUNCATED)
0
false
true
max_turns
The parsed answer is not a valid ARC grid output. test 0: grid rows must all have the same width
"ARC-AGI task id: 212895b5\nSplit: evaluation\nTask JSON without test outputs:\n{\"train\":[{\"input(...TRUNCATED)
-473.492426
2
9,468
null
null
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