Affine + SWE-Lego trajectories in mini-coder format (affine-dedup)

README.md

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+---
+license: other
+language:
+- en
+pretty_name: mini-coder-affine-tools
+tags:
+- software-engineering
+- code
+- agent-trajectories
+- albedo
+---
+
+# mini-coder-affine-tools
+
+63 coding-agent trajectories on 63 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 Claude Code, pi, Kimi Code and Hermes harnesses (each command runs in `/bin/bash -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 | 47 |
+| resolved | 15 |
+| not resolved | 1 |
+
+| Harness | Rows |
+|---|---:|
+| pi | 32 |
+| claude_code | 29 |
+| hermes_agent | 1 |
+| kimi_code | 1 |
+
+| Task pool | Rows |
+|---|---:|
+| swesmith | 63 |
+
+| Language | Rows |
+|---|---:|
+| python | 33 |
+| java | 15 |
+| js | 7 |
+| go | 4 |
+| rust | 4 |
+
+## 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 |
+| `first_edit` | 1-based assistant turn of the first edit to the repository (0: none found) |
+| `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.

data/train-00000-of-00001.parquet

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