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mini-coder/data/train-00044-of-00060.parquet:1527:10
[ { "role": "system", "content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher...
mini-coder/data/train-00059-of-00060.parquet:6505:10
[ { "role": "system", "content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher...
swe-zero/data/train-00713.parquet:7468:10
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
swe-zero/data/train-00297.parquet:4890:10
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
swe-zero/data/train-00200.parquet:564:9
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
swe-zero/data/train-00664.parquet:2226:9
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
swe-zero/data/train-00133.parquet:3565:9
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
swe-zero/data/train-00840.parquet:7153:9
[ { "role": "system", "content": "You are a helpful assistant that interacts with a computer to solve software-engineering tasks.\n\nEvery response must contain EXACTLY ONE bash code block (triple backticks) with EXACTLY ONE command.\nBefore the bash block, include a THOUGHT section explaining your reasoning....
mini-coder/data/train-00016-of-00060.parquet:2458:8
[ { "role": "system", "content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher...
mini-coder/data/train-00029-of-00060.parquet:5762:8
[ { "role": "system", "content": "You are a helpful assistant that can interact multiple times with a computer shell to solve programming tasks.\nYour response must contain exactly ONE bash code block with ONE command (or commands connected with && or ||).\n\nInclude a THOUGHT section before your command wher...
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albedo — SWE-agent reference trajectories

Reference trajectories from SN97 (albedo) evaluations. Each row is a chat-format sample:

  • sample_id — source shard and row of the underlying task (<dataset>/<shard>.parquet:<row>:<turn>)
  • messageslist<{role, content}>: a system prompt, the user task (PR description + instructions), then alternating assistant reference steps and user environment observations

One split per reference model. Every parquet contains exactly 100 samples; new files are appended as evaluations complete.

Usage

from datasets import load_dataset

ds = load_dataset("dendriteholdings/albedo", split="glm_5_2")
print(ds[0]["messages"][0])
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