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Anuken__Mindustry.2ad41a90.func_pm_loop_off_by_one__5kkcx59a
[ { "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...
mechanical
Anuken__Mindustry
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__Anuken__Mindustry_2ad41a90_func_pm_loop_off_by_one__5kkcx59a-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|349
true
null
Anuken__Mindustry.2ad41a90.func_pm_loop_off_by_one__71a0fpx0
[ { "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...
mechanical
Anuken__Mindustry
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__Anuken__Mindustry_2ad41a90_func_pm_loop_off_by_one__is6p5c8u-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|471
true
null
Anuken__Mindustry.2ad41a90.func_pm_op_change__nw6iinp8
[ { "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...
mechanical
Anuken__Mindustry
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__Anuken__Mindustry_2ad41a90_func_pm_op_change__nw6iinp8-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|268
true
null
ChaiScript__ChaiScript.2eb3279c.func_pm_bool_negate__jsll26ax
[ { "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...
mechanical
ChaiScript__ChaiScript
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__json-path__JsonPath_b6c60b3d_func_pm_bool_negate__edm0qw3s-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|286
true
null
Col-E__Recaf.2a93d630.func_pm_flip_operators__w83z2sxh
[ { "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...
mechanical
Col-E__Recaf
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__Col-E__Recaf_2a93d630_func_pm_flip_operators__w83z2sxh-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|385
true
null
Instagram__MonkeyType.70c3acf6.func_pm_op_swap__nvhe615o
[{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED)
mechanical
Instagram__MonkeyType
python
false
unknown
engy/glm-5.2
mini_swe_textbased
albedo:mini-coder
py__Instagram__MonkeyType_70c3acf6_func_pm_op_swap__nvhe615o-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0028_0005.jsonl.gz|67
true
null
Instagram__MonkeyType.70c3acf6.func_pm_remove_assign__wkahh1u7
[{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED)
mechanical
Instagram__MonkeyType
python
false
unknown
engy/glm-5.2
mini_swe_textbased
albedo:mini-coder
py__Instagram__MonkeyType_70c3acf6_func_pm_remove_assign__wkahh1u7-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0028_0005.jsonl.gz|114
true
null
LFDT-web3j__web3j.37d9bc9b.func_pm_bool_negate__6davkct9
[{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED)
mechanical
LFDT-web3j__web3j
java
false
unknown
engy/glm-5.2
mini_swe_textbased
swesmith
java__LFDT-web3j__web3j_37d9bc9b_func_pm_bool_negate__8ji9rfim-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0014_0012.jsonl.gz|261
true
null
Masterminds__squirrel.1ded5784.lm_modify__crcj0yg4
[{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED)
lm
Masterminds__squirrel
go
true
resolved
king/king-0ce59769300c
mini_swe_textbased
albedo:mini-coder
go__Masterminds__squirrel_1ded5784_lm_modify__crcj0yg4-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0038_0000.jsonl.gz|333
true
completion
Mimino666__langdetect.a1598f1a.func_pm_ctrl_invert_if__zrbixrik
[{"role":"system","content":"You are a helpful assistant that can interact multiple times with a com(...TRUNCATED)
mechanical
Mimino666__langdetect
python
false
unknown
engy/qwen3.8-27b
mini_swe_textbased
albedo:mini-coder
py__Mimino666__langdetect_a1598f1a_func_pm_ctrl_invert_if__zrbixrik-0
swesmith
Affine corpus
Affine corpus|https://data.affine.io/views/duel_turns@v4/chunks/view_0028_0005.jsonl.gz|629
true
null
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mini-coder-affine-mswea

173 coding-agent trajectories on 173 SWE-smith tasks, converted to the format of albedo's mini-coder source (mini-swe-agent: one ```bash command per assistant turn, <returncode>/<output> observations, mini-coder's system prompt and task template).

  • Origin: Affine's public training corpus (https://data.affine.io, view duel_turns@v4, corpus epoch 84).
  • Machine: Affine's mini-swe-agent text harness (each command runs in dash as /bin/sh -c, off a terminal). Albedo tells machines apart by source name, so each kind of machine is its own dataset.
  • Repository root: rewritten to /testbed in every command and output.

How it was built

From affine-dedup (Dendrite):

  1. Task-level dedup: tasks matching one of our benchmarks were dropped. Runs on tasks albedo already has were kept, under albedo's own task id when that id points at the same checkout the run had.
  2. Trajectory-level dedup: no run is identical to another or to any run albedo already has.
  3. Conversion: every tool call became one bash command with what that command prints; edits became a python3 heredoc that replaces the exact text; harness wrappers, to-do and memory tools were removed.
  4. Solution leaks dropped: runs that got the fix from outside their own work (SWE-smith's Bug Patch history, the task's own PR in git log --all, fetching upstream code over the network).
  5. Benchmark leaks dropped with albedo's scripts/benchmark_leaks.py.
  6. Validated against mini-coder's format with albedo's own format checks.

Across all seven datasets: 10,456 runs exported, 9,958 converted, 2,288 dropped as solution leaks, 113 as benchmark leaks, 7,557 published.

Contents

Resolved Rows
unknown 166
resolved 4
not resolved 3
Harness Rows
mini_swe_textbased 173
Task pool Rows
swesmith 173
Language Rows
python 100
java 39
js 15
go 13
rust 6

Columns

Column Meaning
instance_id task id, in the style albedo's repo-context service resolves to a repository and commit
messages the trajectory: system prompt, task, then assistant turns (THOUGHT + one ```bash command) and <returncode>/<output> observations, mini-coder's format
family bug family: pr for real pull requests; SWE-smith's lm, combine, mechanical otherwise
repo owner__repo
language repository language
verified true when the run is known to have resolved the task
resolved resolved, not resolved or unknown (Affine's own verdict where it gave one)
patch the task's reference patch where the upstream record has one, else empty
model model that produced the run
harness agent harness the run was recorded in
id_kind where instance_id comes from: albedo's own id for the task, Open-SWE's, or the task pool's
upstream_id the task id in the upstream record
affine_source task pool (swesmith, scaleswe, multiswe, swerebench_v2, r2e_gym, swelego, or SWE-Lego)
origin Affine corpus or SWE-Lego
source_uid where the raw run is: Affine chunk URL and line, or SWE-Lego file and row
submitted whether the run ends with the submit command (false: cut by the step limit)
affine_fold_group Affine's reason for keeping the run (completion, king_fail, ...), when it gave one

License

Not settled. Affine publishes no license for its corpus (none on data.affine.io or in AffineFoundation/affine). The task records come from public datasets under their own terms.

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