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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 1 new columns ({'tree_info'})
This happened while the json dataset builder was generating data using
hf://datasets/oceanpty/TOA-WMT22/cs_to_en/test.cs_to_en.num=1448.jsonl.source=cs.mode=ensemble_sample_N_MCTS.model_num=5.config=Mix-8x22B_Qw2-72B_lla-3.1-70b_Wiza-8x22B_Mis-large-2407.reward=ArmoRM.n_samples=32.tau=1.alpha=0.05.width=53.topk_child=1.temp=0.7.top_p=1.temp_v=1.jsonl (at revision 41087928f2f620d02b6bca9a26182d026bd6abcc)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: int64
instruction: string
en: string
cs: string
dataset: string
actions: list<item: string>
child 0, item: string
responses: list<item: string>
child 0, item: string
rewards: list<item: double>
child 0, item: double
n_prompt_tokens: list<item: int64>
child 0, item: int64
n_completion_tokens: list<item: int64>
child 0, item: int64
total_tokens: list<item: int64>
child 0, item: int64
best_response: string
best_model: string
best_reward: double
tree_info: string
to
{'id': Value(dtype='int64', id=None), 'instruction': Value(dtype='string', id=None), 'en': Value(dtype='string', id=None), 'cs': Value(dtype='string', id=None), 'dataset': Value(dtype='string', id=None), 'responses': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'actions': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'rewards': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'best_reward': Value(dtype='float64', id=None), 'best_response': Value(dtype='string', id=None), 'best_model': Value(dtype='string', id=None), 'n_prompt_tokens': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'n_completion_tokens': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'total_tokens': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 1 new columns ({'tree_info'})
This happened while the json dataset builder was generating data using
hf://datasets/oceanpty/TOA-WMT22/cs_to_en/test.cs_to_en.num=1448.jsonl.source=cs.mode=ensemble_sample_N_MCTS.model_num=5.config=Mix-8x22B_Qw2-72B_lla-3.1-70b_Wiza-8x22B_Mis-large-2407.reward=ArmoRM.n_samples=32.tau=1.alpha=0.05.width=53.topk_child=1.temp=0.7.top_p=1.temp_v=1.jsonl (at revision 41087928f2f620d02b6bca9a26182d026bd6abcc)
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.
id int64 | instruction string | en string | cs string | dataset string | responses sequence | actions sequence | rewards sequence | best_reward float64 | best_response string | best_model string | n_prompt_tokens sequence | n_completion_tokens sequence | total_tokens sequence |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79 | Translate the following sentence into English. Directly output the translated sentence:
"To ani není to nejhorší." | That's not even the worst part. | To ani není to nejhorší. | WMT22-Test_cs_en | [
"\"This isn't the worst.\"",
"\"That's not the worst.\"",
"\"This isn't the worst.\"",
"\"That's not the worst.\"",
"\"That's not the worst.\"",
"\"That's not the worst thing.\"",
"\"That isn't the worst.\"",
"\"That's not the worst.\"",
"\"That's not the worst.\"",
"\"That's not the worst thing.\... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
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0... | 0.854147 | This isn't the worst. | mistral-large-instruct-2407_layer_1 | [
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37,
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... | [
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... |
237 | Translate the following sentence into English. Directly output the translated sentence:
"Nebyla by zapotřebí?" | Is it necessary? | Nebyla by zapotřebí? | WMT22-Test_cs_en | [
"\"Would it not be needed?\"",
"\"Wouldn't it be needed?\"",
"\"Would it not be needed?\"",
"\"Would it not be needed?\"",
"\"Wouldn't it be necessary?\"",
"\"Wouldn't it be necessary?\"",
"\"Would it not be needed?\"",
"\"Wouldn't it be needed?\"",
"\"Wouldn't it be necessary?\"",
"\"Would it not... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.7432063817977905,
0.750777006149292,
0.7432063817977905,
0.7432063817977905,
0.7791445255279541,
0.7791445255279541,
0.7432063817977905,
0.750777006149292,
0.7791445255279541,
0.7759630084037781,
0.7759630084037781,
0.7759628891944885,
0.7507768273353577,
0.7759628891944885,
0.75077682... | 0.779145 | "Wouldn't it be necessary?" | mistral-large-instruct-2407_layer_0 | [
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... | [
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70 | Translate the following sentence into English. Directly output the translated sentence:
"Které úřady se chovaly hospodárně?" | Which institutions have been cost-effective? | Které úřady se chovaly hospodárně? | WMT22-Test_cs_en | [
"\"Which authorities behaved economically?\"",
"\"Which authorities behaved economically?\"",
"\"Which authorities behaved economically?\"",
"\"Which authorities behaved economically?\"",
"\"Which authorities behaved economically?\"",
"\"Which authorities acted economically?\"",
"\"Which authorities beh... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.855516254901886,
0.855516254901886,
0.855516254901886,
0.855516254901886,
0.855516254901886,
0.8644846677780151,
0.855516254901886,
0.8644846677780151,
0.8644846677780151,
0.855516254901886,
0.8604543805122375,
0.8101084232330322,
0.8644846677780151,
0.8644846677780151,
0.8555162549018... | 0.88554 | Which authorities acted in an economical manner? | mistral-large-instruct-2407_layer_1 | [
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84 | Translate the following sentence into English. Directly output the translated sentence:
"První vlaštovky" | The first swallows | První vlaštovky | WMT22-Test_cs_en | [
"\"The first swallows\"",
"The first swallows",
"\"The first swallows\"",
"The first swallows",
"\"The first swallows\"",
"\"The first swallows\"",
"\"The first swallows\"",
"\"The first swallows\"",
"\"The first swallows\"",
"The first swallows.",
"\"The first swallows.\"",
"The first swallow... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.5886580944061279,
0.6521599292755127,
0.5886580944061279,
0.6521599292755127,
0.5886580944061279,
0.5886580944061279,
0.5886580944061279,
0.5886580944061279,
0.5886580944061279,
0.5840206742286682,
0.5902281403541565,
0.6521594524383545,
0.5886578559875488,
0.5886578559875488,
0.588657... | 0.65216 | The first swallows | mistral-large-instruct-2407_layer_0 | [
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194 | Translate the following sentence into English. Directly output the translated sentence:
"No potěš pánbu." | Oh, my goodness. | No potěš pánbu. | WMT22-Test_cs_en | [
"Do not please the lord.",
"\"Do not satisfy the lord.\"",
"\"No potěš pánbu.\" translates to \"Do not please the master.\"",
"\"Do not satisfy the Lord.\"",
"\"Do not please the lord.\"",
"\"Do not please the Lord.\"",
"\"Do not please the lord.\"",
"\"Do not please the lord.\"",
"\"Do not please t... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.3614351153373718,
0.37411269545555115,
0.32738134264945984,
0.3882177770137787,
0.34390273690223694,
0.3416568338871002,
0.34390273690223694,
0.34390273690223694,
0.34390249848365784,
0.3695749342441559,
0.34390249848365784,
0.3439026176929474,
0.3439026176929474,
0.3439026176929474,
0... | 0.571243 | "Do not appease the gentleman." | mistral-large-instruct-2407_layer_1 | [
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69 | Translate the following sentence into English. Directly output the translated sentence:
"Proč se ceny tak dramaticky hýbaly?" | Why did prices fluctuate so dramatically? | Proč se ceny tak dramaticky hýbaly? | WMT22-Test_cs_en | [
"\"Why did the prices fluctuate so dramatically?\"",
"\"Why did the prices fluctuate so dramatically?\"",
"\"Why did the prices fluctuate so dramatically?\"",
"\"Why did the prices fluctuate so dramatically?\"",
"\"Why did the prices fluctuate so dramatically?\"",
"\"Why did the prices fluctuate so dramat... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8874515295028687,
0.8881992697715759,
0.8881992697715759,
0.8903688192367554,
0.8874514698982239,
0.8874514698982239,
0.8874514698982239,
0.890622... | 0.891064 | Why were the prices fluctuating so dramatically? | mistral-large-instruct-2407_layer_0 | [
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
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41,
41,
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41,
41,
41,
41,
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41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
... | [
11,
11,
12,
11,
11,
12,
11,
11,
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13,
11,
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10,
11,
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11,
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10,
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12,
11,
11,
12,
12,
11,
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11,
11,
11,
10,
11,
12,
11,
11,
11,
11,
11,
12,
11,
11,
11,
... | [
52,
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53,
52,
52,
53,
52,
52,
53,
54,
52,
53,
52,
53,
51,
52,
53,
52,
52,
53,
54,
52,
54,
52,
52,
52,
51,
52,
53,
52,
52,
53,
53,
52,
53,
53,
52,
52,
52,
52,
52,
51,
52,
53,
52,
52,
52,
52,
52,
53,
52,
52,
52,
... |
184 | Translate the following sentence into English. Directly output the translated sentence:
"Švýcarský model je tuším podobný." | I think the Swiss model is similar. | Švýcarský model je tuším podobný. | WMT22-Test_cs_en | [
"\"The Swiss model is probably similar.\"",
"\"The Swiss model is, I guess, similar.\"",
"The Swiss model is, I guess, similar.",
"The Swiss model is probably similar.",
"\"The Swiss model is probably similar.\"",
"\"The Swiss model is probably similar.\"",
"\"The Swiss model is, I guess, similar.\"",
... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.8613353371620178,
0.8468247056007385,
0.8702272176742554,
0.8799002170562744,
0.8613353371620178,
0.8613353371620178,
0.8468247056007385,
0.8799002170562744,
0.8543246388435364,
0.8799002170562744,
0.8613353371620178,
0.8543246388435364,
0.8613353371620178,
0.8799002170562744,
0.879900... | 0.88215 | The Swiss model is presumably similar. | mistral-large-instruct-2407_layer_1 | [
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
43,
... | [
10,
13,
12,
8,
10,
10,
13,
10,
10,
9,
10,
11,
9,
9,
10,
9,
9,
10,
10,
10,
11,
10,
9,
10,
10,
11,
11,
10,
10,
10,
8,
12,
11,
10,
10,
10,
10,
10,
11,
10,
10,
9,
10,
10,
11,
10,
10,
10,
12,
8,
11,
35,
10,
11,
10... | [
53,
56,
55,
51,
53,
53,
56,
53,
53,
52,
53,
54,
52,
52,
53,
52,
52,
53,
53,
53,
54,
53,
52,
53,
53,
54,
54,
53,
53,
53,
51,
55,
54,
53,
53,
53,
53,
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54,
53,
53,
52,
53,
53,
54,
53,
53,
53,
55,
51,
54,
78,
53,
... |
165 | Translate the following sentence into English. Directly output the translated sentence:
"Sám je k ní totiž přivolal." | For he himself called them to her. | Sám je k ní totiž přivolal. | WMT22-Test_cs_en | [
"\"For he had summoned her himself.\"",
"\"He himself had summoned her.\"",
"\"For he himself summoned her.\"",
"\"He summoned her to himself.\"",
"\"He himself called her, after all.\"",
"He himself summoned her.",
"\"He had indeed called her to himself.\"",
"He summoned her himself.",
"\"He himsel... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.7294820547103882,
0.6867797374725342,
0.6928592324256897,
0.7197505831718445,
0.6678314208984375,
0.7329226732254028,
0.6699610948562622,
0.7552452683448792,
0.6936097741127014,
0.6518866419792175,
0.6207037568092346,
0.6678314208984375,
0.6978477835655212,
0.7552450895309448,
0.712591... | 0.773938 | He had summoned her to his side. | mistral-large-instruct-2407_layer_1 | [
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
41,
... | [
13,
10,
10,
10,
11,
9,
12,
7,
8,
15,
10,
12,
12,
8,
10,
20,
9,
8,
11,
8,
10,
11,
9,
8,
11,
9,
11,
19,
11,
10,
11,
13,
11,
8,
9,
9,
9,
8,
8,
13,
10,
9,
12,
9,
9,
10,
12,
12,
9,
10,
10,
9,
9,
10,
11,
10,
10... | [
54,
51,
51,
51,
52,
50,
53,
48,
49,
56,
51,
53,
53,
49,
51,
61,
50,
49,
52,
49,
51,
52,
50,
49,
52,
50,
52,
60,
52,
51,
52,
54,
52,
49,
50,
50,
50,
49,
49,
54,
51,
50,
53,
50,
50,
51,
53,
53,
50,
51,
51,
50,
50,
... |
53 | Translate the following sentence into English. Directly output the translated sentence:
"Mam takovou story." | I have a story. | Mam takovou story. | WMT22-Test_cs_en | [
"\"I don't believe that story.\"",
"\"I have such a story.\"",
"\"I have such a story.\"",
"\"I have such a story.\"",
"\"Mom, I have a story.\"",
"\"I have such a story.\"",
"\"I have such a story.\"",
"\"Mom has such a story.\"",
"\"I have such a story.\"",
"\"I have such a story.\"",
"\"My mo... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.6050427556037903,
0.8324245810508728,
0.8324245810508728,
0.8324245810508728,
0.8214452862739563,
0.8324245810508728,
0.8324245810508728,
0.7300364971160889,
0.832424521446228,
0.832424521446228,
0.5823317766189575,
0.6346694827079773,
0.8324246406555176,
0.5889266729354858,
0.83242464... | 0.862115 | My Story is as follows. | mistral-large-instruct-2407_layer_1 | [
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
34,
... | [
11,
9,
9,
9,
10,
9,
8,
10,
9,
9,
11,
9,
10,
20,
10,
9,
23,
9,
11,
21,
9,
12,
10,
25,
10,
11,
9,
12,
9,
9,
9,
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12,
9,
20,
10,
19,
9,
8,
10,
8,
12,
8,
21,
9,
12,
8,
9,
9,
9,
9,
9,
12,
9,
20,
9,
9,
9,
... | [
45,
43,
43,
43,
44,
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42,
44,
43,
43,
45,
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54,
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44,
42,
46,
42,
55,
43,
46,
42,
43,
43,
43,
43,
43,
46,
... |
144 | Translate the following sentence into English. Directly output the translated sentence:
"Ne všechny zásilky se ale daří doručit hladce." | However, not all shipments are delivered smoothly. | Ne všechny zásilky se ale daří doručit hladce. | WMT22-Test_cs_en | [
"Not all parcels, however, are delivered smoothly.",
"\"However, not all packages are delivered smoothly.\"",
"Not all packages are delivered smoothly.",
"\"However, not all packages are delivered smoothly.\"",
"Not all parcels are delivered smoothly.",
"Not all packages can be delivered smoothly.",
"\"... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.8471606969833374,
0.8282777667045593,
0.8354673385620117,
0.8282777667045593,
0.8318139314651489,
0.8411405682563782,
0.8282777667045593,
0.8430932760238647,
0.8282777667045593,
0.8293882608413696,
0.8496107459068298,
0.84309321641922,
0.8354672193527222,
0.8496108055114746,
0.82866615... | 0.8534 | Not all deliveries proceed smoothly. | mistral-large-instruct-2407_layer_1 | [
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
49,
... | [
13,
11,
8,
11,
9,
10,
11,
12,
11,
11,
12,
12,
9,
12,
11,
12,
12,
11,
10,
11,
11,
12,
12,
12,
12,
12,
9,
9,
11,
10,
8,
10,
14,
11,
9,
12,
12,
11,
9,
9,
10,
11,
12,
12,
13,
10,
12,
10,
12,
14,
11,
8,
11,
11,
12... | [
62,
60,
57,
60,
58,
59,
60,
61,
60,
60,
61,
61,
58,
61,
60,
61,
61,
60,
59,
60,
60,
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61,
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61,
61,
58,
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60,
59,
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60,
58,
58,
59,
60,
61,
61,
62,
59,
61,
59,
61,
63,
60,
57,
60,
... |
166 | Translate the following sentence into English. Directly output the translated sentence:
"Šel na to ale oklikou." | But he went about it in a roundabout way. | Šel na to ale oklikou. | WMT22-Test_cs_en | [
"\"But he went about it indirectly.\"",
"He went there but took a detour.",
"\"But he went around it.\"",
"He went there but took a detour.",
"He went there but by a detour.",
"He went there but indirectly.",
"\"But he went there by a detour.\"",
"\"He went for it anyway.\"",
"He went there but by a... | [
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_layer_0",
"mistral-large-instruct-2407_... | [
0.637486457824707,
0.5716297626495361,
0.430736243724823,
0.5716297626495361,
0.5313306450843811,
0.5652058124542236,
0.5022227168083191,
0.5953384637832642,
0.5313306450843811,
0.5716297626495361,
0.4696698486804962,
0.5716301202774048,
0.5313310027122498,
0.5995668768882751,
0.54560720... | 0.671211 | He took an indirect approach. | mistral-large-instruct-2407_layer_1 | [
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
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36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
36,
... | [
11,
11,
9,
10,
12,
10,
12,
9,
12,
11,
12,
10,
12,
10,
14,
10,
12,
10,
14,
14,
11,
14,
14,
12,
10,
12,
13,
12,
13,
15,
13,
12,
12,
10,
9,
12,
13,
11,
8,
11,
13,
11,
11,
11,
12,
13,
13,
14,
12,
14,
12,
13,
12,
11... | [
47,
47,
45,
46,
48,
46,
48,
45,
48,
47,
48,
46,
48,
46,
50,
46,
48,
46,
50,
50,
47,
50,
50,
48,
46,
48,
49,
48,
49,
51,
49,
48,
48,
46,
45,
48,
49,
47,
44,
47,
49,
47,
47,
47,
48,
49,
49,
50,
48,
50,
48,
49,
48,
... |
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