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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - question-answering
+tags:
+  - context-degradation
+  - long-context
+  - multi-document
+  - pdf
+size_categories:
+  - 1K<n<10K
+---
+
+# JSAJ Eval Bundle
+
+Pre-materialized cells for the JSAJ team's context degradation evaluation on the MMLongBench-Doc derived dataset. Each cell folder contains the exact PDFs an evaluation must run against.
+
+## Structure
+
+```
+q0/
+  control_k0/        source.pdf + question.json
+  hard_negative_k2/  source.pdf + hn_1.pdf + hn_2.pdf + question.json
+  hard_negative_k4/  source.pdf + hn_1.pdf .. hn_4.pdf + question.json
+  random_k2/         source.pdf + random_1.pdf + random_2.pdf + question.json
+  random_k4/         source.pdf + random_1.pdf .. random_4.pdf + question.json
+q1/
+  ...
+manifest.json        cell_id -> folder path lookup
+```
+
+286 questions, 5 conditions each = 1,430 cells. Source PDF is always position 0.
+
+## Cells
+
+- **control_k0** — source document only
+- **hard_negative_k2 / k4** — source + 2 or 4 topical HN PDFs (curated per question)
+- **random_k2 / k4** — source + 2 or 4 HN PDFs sampled from other questions (one HN per other question; never from the source question's own HN pool)
+
+Distractor selection is deterministic, seeded at `20260523`. Cells are byte-identical for every model that consumes this bundle.
+
+## Per-cell metadata
+
+`question.json` in each cell folder contains:
+
+```json
+{
+  "cell_id": "q0_random_k4",
+  "doc_id": "PH_2016.06.08_Economy-Final.pdf",
+  "question": "...",
+  "answer": "...",
+  "answer_format": "Str",
+  "condition": "random",
+  "k": 4,
+  "n_pages": 165,
+  "est_tokens": 66000,
+  "bundle_filenames": ["source.pdf", "random_1.pdf", ...],
+  "original_filenames": ["PH_2016...pdf", "web_e6e2...pdf", ...]
+}
+```
+
+## How to use
+
+```python
+import json
+from pathlib import Path
+
+# load a single cell
+cell = json.load(open("q0/random_k4/question.json"))
+pdfs = [Path(f"q0/random_k4/{name}") for name in cell["bundle_filenames"]]
+# send pdfs to your model with cell["question"]; score against cell["answer"]
+```
+
+For batch evaluation, iterate over `manifest.json` to get all cell folders.
+
+## Source dataset
+
+Derived from MMLongBench-Doc with a 286-row text-safe filter. Source + HN PDFs originally curated at [`luoojason/mmlongbench-text-only`](https://huggingface.co/datasets/luoojason/mmlongbench-text-only).
+
+## Citation
+
+Part of the JSAJ team's Algoverse March 2026 cohort research on long-context degradation. Code: [SaibililaA/JSAJ](https://github.com/SaibililaA/JSAJ).