messages list | data_source string | extra_info dict |
|---|---|---|
[
{
"role": "user",
"content": "You are given a reasoning trace that another model produced while attempting to solve a problem. Your job is to compress the reasoning so that the same model could later replay only the compressed form and continue solving the problem without losing essential context.\n\nThe tr... | microsoft/OpenMementos | {
"split": "train",
"index": 0,
"sub_index": 0,
"is_partial": false,
"domain": "code",
"source": "nvidia/OpenCodeReasoning",
"difficulty": 8,
"num_blocks_total": 9,
"num_blocks_kept": 9,
"num_paragraphs_total": 239,
"num_paragraphs_kept": 239,
"truncation_paragraph": 239,
"cot_chars": 34863
} |
[
{
"role": "user",
"content": "You are given a reasoning trace that another model produced while attempting to solve a problem. Your job is to compress the reasoning so that the same model could later replay only the compressed form and continue solving the problem without losing essential context.\n\nThe tr... | microsoft/OpenMementos | {
"split": "train",
"index": 0,
"sub_index": 1,
"is_partial": true,
"domain": "code",
"source": "nvidia/OpenCodeReasoning",
"difficulty": 8,
"num_blocks_total": 9,
"num_blocks_kept": 4,
"num_paragraphs_total": 239,
"num_paragraphs_kept": 99,
"truncation_paragraph": 99,
"cot_chars": 18508
} |
[
{
"role": "user",
"content": "You are given a reasoning trace that another model produced while attempting to solve a problem. Your job is to compress the reasoning so that the same model could later replay only the compressed form and continue solving the problem without losing essential context.\n\nThe tr... | microsoft/OpenMementos | {
"split": "train",
"index": 0,
"sub_index": 2,
"is_partial": true,
"domain": "code",
"source": "nvidia/OpenCodeReasoning",
"difficulty": 8,
"num_blocks_total": 9,
"num_blocks_kept": 8,
"num_paragraphs_total": 239,
"num_paragraphs_kept": 217,
"truncation_paragraph": 217,
"cot_chars": 31788
} |
[
{
"role": "user",
"content": "You are given a reasoning trace that another model produced while attempting to solve a problem. Your job is to compress the reasoning so that the same model could later replay only the compressed form and continue solving the problem without losing essential context.\n\nThe tr... | microsoft/OpenMementos | {
"split": "train",
"index": 1,
"sub_index": 0,
"is_partial": false,
"domain": "code",
"source": "nvidia/OpenCodeReasoning",
"difficulty": 8,
"num_blocks_total": 9,
"num_blocks_kept": 9,
"num_paragraphs_total": 293,
"num_paragraphs_kept": 293,
"truncation_paragraph": 293,
"cot_chars": 51922
} |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":1,"sub_index":2,"is_partial":true,"domain":"code","source":"nvidia/OpenCode(...TRUNCATED) |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":2,"sub_index":0,"is_partial":false,"domain":"math","source":"ai2-adapt-dev/(...TRUNCATED) |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":2,"sub_index":1,"is_partial":true,"domain":"math","source":"ai2-adapt-dev/o(...TRUNCATED) |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":2,"sub_index":2,"is_partial":true,"domain":"math","source":"ai2-adapt-dev/o(...TRUNCATED) |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":3,"sub_index":0,"is_partial":false,"domain":"math","source":"ai2-adapt-dev/(...TRUNCATED) |
[{"role":"user","content":"You are given a reasoning trace that another model produced while attempt(...TRUNCATED) | microsoft/OpenMementos | {"split":"train","index":3,"sub_index":1,"is_partial":true,"domain":"math","source":"ai2-adapt-dev/o(...TRUNCATED) |
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