Blame for README.md

---
pretty_name: Elixir preference optimization — DPO and KTO sets
license: apache-2.0
language:
  - en
tags:
  - elixir
  - code
  - code-generation
  - preference-optimization
  - dpo
  - kto
  - rlhf
  - otp
task_categories:
  - text-generation
size_categories:
  - n<1K
configs:
  - config_name: dpo-failv0
    data_files: data/dpo/dpo_failv0.jsonl
    default: true
  - config_name: kto-v0
    data_files: data/kto/kto_v0.jsonl
  - config_name: onpolicy-micro-dpo-v1
    data_files: data/onpolicy/qwen25c3b_micro_dpo_v1.jsonl
  - config_name: onpolicy-round02-dpo
    data_files: data/onpolicy/qwen25c3b_micro_round2_dpo.jsonl
  - config_name: onpolicy-round04-dpo
    data_files: data/onpolicy/qwen25c3b_micro_round4_dpo.jsonl
  - config_name: onpolicy-round13-dpo
    data_files: data/onpolicy/qwen25c3b_micro_round13_dpo.jsonl
  - config_name: onpolicy-round03-kto
    data_files: data/onpolicy/qwen25c3b_micro_round3_kto.jsonl
  - config_name: onpolicy-round06-kto
    data_files: data/onpolicy/qwen25c3b_micro_round6_kto.jsonl
  - config_name: onpolicy-round11-kto
    data_files: data/onpolicy/qwen25c3b_micro_round11_kto.jsonl
---

# Elixir preference optimization — DPO and KTO sets

**909 preference rows in 9 configs** for Elixir code models: 654 DPO pairs, 76 balanced
KTO examples, and 179 rows from the on-policy Qwen2.5-Coder-3B refinement rounds. Every
chosen completion was executed and passed the project's isolated Elixir scorer (compile +
ExUnit + static contract checks); every rejected completion was confirmed to fail the
intended gate. The frozen evaluation packs are held out: measured prompt-level and
module-level collisions are **zero** for every config.

> **Do not execute the rejected completions.** They are deliberately broken, and some
> contain intentional defects (swallowed errors, wrong endianness, unsafe state handling).
> Treat every `rejected` field as hostile input.

## What "preference" means here

These pairs are not style opinions. They encode **executable correctness and static
contracts** for Elixir:

- `preference_kind: correctness` — the chosen module compiles and passes its tests; the
  rejected one fails to compile, fails a test, or drops a required contract.
- `preference_kind: functional-style` — both sides may behave correctly, but the rejected
  side uses process state, side effects or a non-idiomatic construct where the task
  explicitly asked for pure functional code. The rejection is a violated static gate, not
  a matter of taste.

The failure modes were mined from real model output, then re-targeted onto original tasks
with new module names and specifications, so no benchmark task is copied into the data.

## Configs

| config | rows | format | what it is |
| --- | ---: | --- | --- |
| `dpo-failv0` | 654 | DPO pairs | Mined from evaluation failures of `gemma12b-elixir-cpt-q4` (40/128) and `qwen35-9b-elixir-cpt-sft-q5` (46/128). 534 correctness pairs + 120 functional-style pairs. |
| `kto-v0` | 76 | KTO | Balanced 38 accepted / 38 rejected. Each original task contributes exactly one accepted and one rejected completion; 40 functional-style + 36 correctness rows. |
| `onpolicy-micro-dpo-v1` | 36 | DPO pairs | First on-policy DPO round for the Qwen2.5-Coder-3B depth-expanded checkpoint. |
| `onpolicy-round02-dpo` | 25 | DPO pairs | Round 2: up to three fresh, scorer-gated prompts per construction weakness; format-only pairs excluded. |
| `onpolicy-round04-dpo` | 11 | DPO pairs | Round 4. |
| `onpolicy-round13-dpo` | 17 | DPO pairs | Round 13. |
| `onpolicy-round03-kto` | 34 | KTO | Round 3 KTO: OTP and bit-syntax focus. |
| `onpolicy-round06-kto` | 22 | KTO | Round 6 KTO: functional-style focus (12 functional rows). |
| `onpolicy-round11-kto` | 34 | KTO | Round 11 KTO: four rows per family. |

DPO family coverage (`dpo-failv0`): otp 134, functional 120, binaries 119, beam 66,
stdlib 49, errors 47, abstractions 41, core 41, collections 37. The weakness taxonomy is
distilled from the failing completions — the largest buckets are `format-hygiene` (114),
`enum-state` (99), `err-swallow` (42), `edge-empty` (42), `functional-style-process-state`
(40), `functional-style-agent-state` (40), `bin-size-guard` (33) and `bin-endian` (24);
the complete per-weakness counts are in `metadata/dataset_stats.json`.

KTO family coverage: functional 40, otp 12, binaries 10, protocol 4, stdlib 4, errors 2,
core 2, format 2.

The `onpolicy-*` configs are **checkpoint-specific** artifacts of one model's targeted
rounds; each round's build manifest (base checkpoint, selection rules, counts, validation)
is in `metadata/manifests/`. If you want a single general preference set, use
`dpo-failv0` (or `kto-v0` for the balanced KTO formulation).

## Row schemas

DPO (`dpo-failv0` and the on-policy DPO configs) — ShareGPT prompt plus two string
completions:

```json
{
  "id": "dpo.binaries.s16be.bin-endian",
  "family": "binaries",
  "source": "elixir_dpo_failv0",
  "weakness": "bin-endian",
  "origin": "designed",
  "preference_kind": "correctness",
  "models": ["gemma12b-elixir-cpt-q4", "qwen35-9b-elixir-cpt-sft-q5"],
  "conversations": [
    {"from": "system", "value": "You are a friendly coding assistant ..."},
    {"from": "human", "value": "Write a module `S16BE` with: ..."}
  ],
  "chosen": "```elixir\ndefmodule S16BE do ... end\n```",
  "rejected": "```elixir\ndefmodule S16BE do ... end\n```"
}
```

KTO (`kto-v0` and the on-policy KTO configs) — TRL conversational schema with a boolean
label:

```json
{
  "id": "kto.functional.map-pipeline.chosen",
  "family": "functional",
  "label": true,
  "preference_kind": "functional-style",
  "weakness": "functional-pipeline",
  "prompt": [
    {"role": "system", "content": "You are a friendly coding assistant ..."},
    {"role": "user", "content": "Write a module `KtoFnMapPipeline` with: ..."}
  ],
  "completion": [{"role": "assistant", "content": "```elixir ... ```"}]
}
```

In DPO files, `models` records which checkpoints' failures motivated the pair and
`origin` distinguishes `designed`, `handmade` and `functional-style` rows. The on-policy
files carry the same fields plus the round-specific annotations.

## Loading

```python
from datasets import load_dataset

dpo = load_dataset("jmarceno/elixir-preference", "dpo-failv0", split="train")
kto = load_dataset("jmarceno/elixir-preference", "kto-v0", split="train")
print(dpo[0]["chosen"][:200])
print(kto[0]["label"], kto[0]["prompt"])
```

Raw JSONL:

```python
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    "jmarceno/elixir-preference", "data/dpo/dpo_failv0.jsonl", repo_type="dataset"
)
```

Shaping the DPO file for TRL `DPOTrainer`:

```python
from datasets import load_dataset

ROLE = {"system": "system", "human": "user", "gpt": "assistant"}

def to_dpo(row):
    return {
        "prompt": [
            {"role": ROLE[turn["from"]], "content": turn["value"]}
            for turn in row["conversations"]
        ],
        "chosen": [{"role": "assistant", "content": row["chosen"]}],
        "rejected": [{"role": "assistant", "content": row["rejected"]}],
    }

ds = load_dataset("jmarceno/elixir-preference", "dpo-failv0", split="train")
ds = ds.map(to_dpo, remove_columns=ds.column_names)
```

The KTO configs already match the TRL `KTOTrainer` columns (`prompt`, `completion`,
`label`) and need no conversion.

## Quality gates

- Every `chosen` completion was executed through the real scorer: compile, generated ExUnit
  tests, and static contract checks. A row only ships when the chosen side has zero test
  failures and a clean static result; compile warnings are counted and reported.
- Every `rejected` completion fails the declared gate for a reason recorded in `weakness`.
  For functional-style pairs, the rejected side is behaviourally correct and fails only the
  declared style gate — that is the teaching signal.
- Ids are unique per file, and prompts are unique per file.
- Zero exact prompt collisions and zero module-name collisions against both frozen
  evaluation packs.
- `metadata/sha256sums.txt` lets you confirm the bytes you downloaded are the bytes that
  passed those gates.

## Intended use and limitations

- **Intended:** DPO or KTO preference tuning of Elixir code models that already produce
  working code, especially for OTP timeouts, error handling, edge cases, bit syntax and
  functional style.
- **Not intended:** as a standalone fine-tuning dataset (use an SFT set first), for
  instruction-following evaluation, for multi-turn agent data, or for any non-Elixir
  language.
- 909 rows is small by design. These sets target specific failure families observed in this
  project's models; they are not a general Elixir preference corpus and will not teach
  unrelated skills.
- Rejected completions are broken on purpose; never execute them in an unsandboxed process.
- Do not treat the size of a configuration as its importance: the on-policy rounds exist to
  document a training loop, not to be pooled blindly into a new run.

## Provenance and licensing

Rows were authored for this project and mined from this project's own model evaluations on
original tasks. No benchmark task and no upstream repository code is redistributed here.
The CPT corpora (which do contain upstream Elixir/Erlang sources) are published separately.

Released under **Apache-2.0**. "Elixir" and "Erlang" are trademarks of their respective
owners; this dataset is not affiliated with or endorsed by the Elixir or Erlang teams.

## Repository layout

```
data/dpo/dpo_failv0.jsonl                        dpo-failv0
data/kto/kto_v0.jsonl                            kto-v0
data/onpolicy/qwen25c3b_micro_*_dpo.jsonl        onpolicy-*-dpo configs
data/onpolicy/qwen25c3b_micro_*_kto.jsonl        onpolicy-*-kto configs
metadata/dataset_stats.json                      per-file rows, hashes, families, pack overlap
metadata/sha256sums.txt                          data-file checksums
metadata/provenance.json                         source commit, exclusions, build note
metadata/manifests/*.json                        per-round build manifests
```

## Citation

```bibtex
@dataset{jmarceno_elixir_preference_2026,
  author    = {jmarceno},
  title     = {Elixir preference optimization — DPO and KTO sets},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/jmarceno/elixir-preference},
  note      = {Apache-2.0}
}
```