---
pretty_name: Talk 2 Harness Evaluation
license: other
language: [en, fr]
task_categories: [question-answering]
tags: [document-understanding, rag, agents, evaluation]
configs:
- config_name: questions
  data_files:
  - split: holdout
    path: questions/holdout.parquet
  - split: multi_hop
    path: questions/multi_hop.parquet
  - split: rag_misses
    path: questions/rag_misses.parquet
  - split: test
    path: questions/test.parquet
- config_name: pages
  data_files:
  - split: train
    path: pages/train.parquet
- config_name: answers
  data_files:
  - split: train
    path: answers/train.parquet
---

# Talk 2 Harness Evaluation

Data behind the talk "Better Harness, Better Answers". One small model answered the same questions under different
harnesses, and every answer, score and tool call is here. Variant: **public**.

| Config | Rows | Content |
| --- | ---: | --- |
| questions | 50 | Question, gold answer, scoring rule, evidence pages. Splits follow the evaluation stages. |
| pages | 71 | Page image, converted Markdown, source URL, licence, the questions that selected the page. |
| answers | 3625 | Model, quantization, provider, seed, configuration, repeat, answer, score, tool calls, seconds, tokens, full tool trace. |

## Evaluation stages

- `rag_misses`, `multi_hop`: validation questions. The agent was changed after reading their traces.
- `holdout`: ten questions held back from the first agent, then used to change the harness. Treat them as validation data
  for any later revision.
- `test`: twenty questions selected before their first run. No harness change came from their results or traces.
  Fifteen ran first as `holdout2`; five more were added to match the twenty validation questions. Validation and test search the same 531 pages. In `answers`, corpus `pages_validation` holds the validation runs and `pages_unseen` the test runs; `pages_multihop` holds earlier validation runs on 222 of those pages, where the harness was tuned.

## Retrieval and models

- Embedding model: `qwen3-embedding:0.6b` in Ollama (Qwen/Qwen3-Embedding-0.6B, 1024 dimensions), 512-token chunks with
  50 overlap from LlamaIndex SentenceSplitter.
- Vector search: FAISS `IndexFlatIP`, an exact inner-product search over all chunks, top 5.
- BM25: bm25s. Hybrid fuses the top 20 of each ranking by reciprocal rank fusion (k = 60) and keeps 5.
- Page conversion: `maternion/LightOnOCR-3:0.8b` for pages with charts, images or little text, pymupdf4llm otherwise.
- Answer model: Qwen3.5-9B at temperature 0. Final runs use the 4-bit (fp4) weights on Darkbloom through OpenRouter,
  `qwen/qwen3.5-9b`, three runs. Earlier runs use the nvfp4 weights in Ollama, `qwen3.5:9b`, one run. Each row of `answers`
  names its `model`, `quantization`, `hosted_provider` and the `seed` sent; at temperature 0 the seed has little effect.
- Iterations: Trace Fixes is configuration `merged_grep_revision2`, Grep Token Reduction is `merged_grep_revision3`, and
  Grep Token Reduction + Thinking is `merged_grep_revision3_thinking`.
- BM25 agent (`merged_bm25_loop`), BM25 agent + Thinking (`merged_bm25_loop_thinking`) and Hybrid agent
  (`merged_fusion_loop`) are the grep agent with a ranked search tool, added after the test scores of the other
  configurations were known. Hybrid means embedding + BM25 with reciprocal rank fusion, top 5. `text_bm25_loop` is BM25 in
  the loop on PDF text.
- BM25 Token Reduction (`merged_bm25_excerpt_fixed_count`) puts BM25 search into the Grep Token Reduction agent, shows an
  excerpt of 600 characters around the matching words and has no turn limit. `merged_bm25_excerpt_selected_count` lets the
  model choose the passage count. `merged_bm25_token_reduction` and `merged_bm25_selected_count` are the first versions of
  these two. All four were tuned on the validation questions and added after the test scores of the others were known.

## Files

`files/` holds the PDF subset and Markdown of each document that permits redistribution. `files/document_index.tsv`
lists every document with its source URL, including those not hosted here. `pages.open_page_url` opens a page directly.

## Scoring

`correct` is re-scored with the current rules at export. `match` holds the rule for each question.

## Variant notes

Every question, gold answer, scoring rule, evidence quote, model answer and score is here. Five XL-DocBench questions, four of them in `test`, come from an earlier release of that benchmark. Pages with `redistribution` other than `permitted` are excluded, because their source licences do not allow copies; `source_url` and `open_page_url` lead to them. Tool outputs and prompts that reproduce those documents read `[omitted from the public variant: source licence]`.

## Sources and attribution

- CUAD, The Atticus Project, CC BY 4.0, DOI 10.5281/zenodo.4595826. Contracts come from EDGAR.
- ViDoRe v3, annotations CC BY 4.0, arXiv 2601.08620. Each document has its own licence in the `licence` column. INSEE
  documents: "Source : Insee".
- XL-DocBench, Microsoft, arXiv 2608.00036. Questions and answers come from the benchmark; it lists links to documents and grants no redistribution rights for them.

This card is a practical summary and not legal advice.