Duplicate from greghavens/glm-5.2-coding-and-debugging-traces

Co-authored-by: Greg Havens <greghavens@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
+traces.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+pretty_name: GLM 5.2 Agent Traces
+license: cc-by-4.0
+language:
+  - en
+annotations_creators:
+  - machine-generated
+task_categories:
+  - text-generation
+size_categories:
+  - 1K<n<10K
+tags:
+  - "traces"
+  - "code"
+  - "agentic"
+  - "tool-use"
+  - "coding-agent"
+  - "coding-agents"
+  - "agent-traces"
+  - "instruction-following"
+  - "function-calling"
+  - "parallel-tool-calling"
+  - "multi-turn"
+  - "sft"
+  - "distillation"
+  - "reasoning"
+  - "chain-of-thought"
+  - "cot"
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path:
+          - data/train-00021.parquet
+          - data/train-00022.parquet
+          - data/train-00023.parquet
+          - data/train-00024.parquet
+          - data/train-00025.parquet
+          - data/train-00026.parquet
+          - data/train-00027.parquet
+          - data/train-00028.parquet
+          - data/train-00029.parquet
+          - data/train-00030.parquet
+          - data/train-00031.parquet
+          - data/train-00032.parquet
+          - data/train-00033.parquet
+          - data/train-00034.parquet
+          - data/train-00035.parquet
+          - data/train-00036.parquet
+          - data/train-00041.parquet
+          - data/train-00046.parquet
+          - data/train-00047.parquet
+          - data/train-00048.parquet
+          - data/train-00049.parquet
+          - data/train-00050.parquet
+
+---
+
+# GLM 5.2 Agent Traces
+
+![Moonshiner — GLM 5.2 instruction following, tool use, and coding](./moonshiner-dataset-banner.png)
+
+<div align="center">
+  <h2>207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL</h2>
+</div>
+
+> Generated by **[moonshiner](https://github.com/greghavens/moonshiner)** — an open harness for
+> distilling verified instruction-following, tool-use, and agentic coding traces.
+
+
+Behavior-preserving **instruction-following, tool-use, and agent trajectories**
+from **GLM 5.2** (`glm-5.2`). The category and row-share tables
+below describe the actual mix seen during training rather than assuming a
+particular task domain.
+
+**This is an actively growing dataset. More is coming**: additional training
+programs and substantially more sessions will be added to this same repo.
+
+## What makes it different
+
+- **All real model trajectories.** Every row is a cumulative prefix of a genuine
+  GLM 5.2 session captured end-to-end. The agent's causal exploration, tool
+  arguments, results, corrections, and final responses are retained.
+- **One next step per row.** A trajectory with N assistant turns produces N
+  rows. Row k contains the complete context through assistant turn k; that final
+  assistant message is the sole training target.
+- **Runtime-normalized.** Runtime plumbing, UI decoration, control sequences,
+  and verbose success boilerplate are removed or canonicalized while causal
+  context remains.
+- **Independently verified.** Coding sessions must pass deterministic tests and
+  protected-file checks. Instruction-following sessions must pass deterministic
+  tool-call, staging, argument, and response-constraint checks. Every retained
+  trajectory also clears independent review.
+
+- **Reasoning-effort step-down.** Failed trace attempts proceed through `xhigh → medium → low` (up to the configured attempt count) and stop at the first judge-accepted trace. If higher reasoning fails a task that lower reasoning succeeds on, the lower-effort trace is retained.
+
+## Task mix
+
+High-level training programs, calculated from accepted trajectories using the
+same program mapping published in the seed catalog:
+
+| kind | trajectories | share | row share | flavor |
+|---|---:|---:|---:|---|
+| Building | 79 | 38.2% | 38.1% | Implement complete libraries, services, CLIs, workflows, and systems from specifications. |
+| Debugging | 73 | 35.3% | 33.8% | Diagnose failures, repair defects, resolve compiler/runtime issues, and preserve regressions. |
+| Project & integration | 18 | 8.7% | 11.1% | Coordinate multi-file, repository-scale, migration, and integration work. |
+| Feature development | 16 | 7.7% | 8.4% | Extend working systems while preserving existing behavior. |
+| Tool calling | 13 | 6.3% | 5.1% | Select tools, construct grounded arguments, run independent calls together, and stage dependent calls. |
+| Refactoring & performance | 7 | 3.4% | 3.1% | Restructure safely and improve measured performance without behavior drift. |
+| Other verified work | 1 | 0.5% | 0.4% | Verified work not yet assigned to one of the primary programs. |
+
+## Languages (current drop)
+
+`Go`, `TypeScript`, `Bash`, `Rust`, `Java`, `C`, `Ruby`, `English`, `C++`, `Python`, `Zsh`, `C#`, `JavaScript`, `Assembly`
+
+## Schema
+
+Each row:
+
+| column | type | contents |
+|---|---|---|
+| `task` | string | stable task id |
+| `lang` | string | English (`en`) or primary programming language |
+| `category` | string | detailed recipe category |
+| `split` | string | trajectory-disjoint `train` or `val` partition |
+| `assistant_step` | int | 1-based target assistant turn |
+| `assistant_steps` | int | assistant turns in the source trajectory |
+| `target_message_index` | int | index of the final assistant target |
+| `n_messages` | int | cumulative message count through the target |
+| `messages` | list of objects | cumulative context ending at the target |
+
+`messages` is native JSON.
+
+## Layout
+
+The Hugging Face viewer reads the validated active Parquet shards listed in `dataset-manifest.json`. The equivalent canonical `traces.jsonl` is also published for direct download and conversion. It currently contains
+1,821 cumulative next-step rows derived from 207 accepted
+trajectories over disjoint train and validation tasks.
+
+When training from the cumulative view, supervise only the final assistant
+message in each row. Supervising every assistant span would repeatedly
+overweight early steps because those spans recur as context in later prefixes.
+
+## Intended use
+
+Supervised fine-tuning of instruction-following, tool-calling, and coding
+agents, plus analysis of multi-step planning, parallel calls, tool selection,
+state tracking, build-test-fix loops, and verification-driven completion.
+
+## Provenance
+
+Generated with GLM 5.2 (`glm-5.2`), then filtered by deterministic verification and
+explicit Codex acceptance review. Codex supplies no demonstration content; it
+only judges or requests replacement of candidate traces. Provider credentials,
+user keys, and host-identifying data are scrubbed before publication.
+
+## License
+
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free for training,
+research, commercial products, modification, redistribution, and inclusion in
+other datasets or corpora, with attribution.
+
+Suggested attribution:
+
+> GLM 5.2 Agent Traces —
+> https://huggingface.co/datasets/greghavens/glm-5.2-coding-and-debugging-traces

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