Datasets:

EditPPT
/

DECKEDIT-BENCH

Instruction-guided document editing is largely evaluated on plain text or single-shape image edits. Real presentation editing is harder: instructions are under-specified, targets must be located among many shapes, edits repeat across slides, and a good system must change only what was asked while preserving everything else. DECKEDIT-BENCH provides real decks and natural-language instructions to measure these abilities, with an explicit axis for preservation (non-target damage) alongside instruction-following accuracy.

Composition

Instances. 183 (deck, instruction) pairs over 28 .pptx decks.
Deck tiers (by slide count): Short ≤10 (9 decks), Medium 11–30 (12), Long >30 (7). Largest deck: 50 slides.
Instructions per tier: Short 54 · Medium 81 · Long 48.
Cells: ES 17 · EC 57 · PS 87 · PC 22 (see TAXONOMY.md).
Languages: source decks are en (21) / ko (7); some instructions ask for translation into en/ko/ja/fr/es/zh.
Domains (28 decks): AI/ML/Speech-NLP research (12), STEM lecture & engineering (4), Humanities & general (4), Business reports (3), Architecture/Urban/Visual (3), Medical/Bio (2).
Visuals: decks variously contain pictures, tables, and charts; per-deck inventory is in deck_info.json (visuals).
Two fully-synthetic decks (02_RemoteWorkSurvey, 09_ApexAnalytics) are chart-heavy fixtures authored for this benchmark.

Each instance carries: deck_id, id, cell, ops_per_slide, actions, derived_from (template id or deck-specific), intent, text.

Known imbalances / limitations

REPLACE accounts for ~75 % of actions; ADD/DELETE/SLIDE are sparser.
SLIDE actions appear only in PS cells; ES/EC/PC × SLIDE = 0.
slide-mgmt (add/delete/duplicate slide) is barely tested.
Multi-action instructions (≥2 distinct actions) are rare.
Domain skew toward AI/Speech research (~43 % of decks); legal/finance/sales/ medical-chart are under-represented — an external-validity caveat.
Not every instruction is deterministically checkable: ~75 % are (text/color/font/chart-attr/background); translate/summarize/"important parts" require an LLM/vision judge.

Collection process

Decks are real lecture, seminar, paper-review, proposal, and report presentations contributed by their authors (with permission), plus two synthetic chart decks. Instructions were authored for this benchmark to cover the Cell × Action × Target space; 92 derive from 14 reusable templates (taxonomy.json), 91 are deck-specific. No model outputs are included in the released data.

Preprocessing / cleaning / anonymization

All decks were sanitized for personal and third-party data. PII in .pptx hides in non-visible metadata layers; every layer below was scrubbed and the result re-verified (0 residual names / emails / template watermarks across all 28 decks):

Document properties — docProps/core.xml, app.xml: creator, lastModifiedBy, title, subject, keywords, Company, Manager cleared.
Comment / coauthor records — ppt/authors.xml, ppt/commentAuthors.xml: real author names anonymized to Author A/B/… (5 decks), initials blanked.
Coauthoring revision history — ppt/changesInfos/changesInfo*.xml: chgData name= author names anonymized (4 decks).
Embedded emails — real addresses replaced with example.* placeholders.

11_FourthIndustryStartup was originally built on a commercial third-party template; it was rebuilt copyright-clean: original text and styling preserved verbatim, the template's full-slide background and all raster images removed, template-vendor watermarks stripped, and slide imagery replaced with license-clean Unsplash photos (then downsized to 1920 px). Its instruction targets (team identifier, author list, four category labels, a replaceable image, the startup-pitch body) are preserved, so its prompts behave as before.

Uses

Intended for evaluating instruction-guided .pptx editing systems (instruction-following accuracy, target localization, pattern compression, and content preservation). Not intended as training data for, or evaluation of, deck generation from scratch. The decks reflect their source domains and languages and should not be treated as a representative sample of all presentations.

Distribution

Released as static files (decks + prompts.jsonl + taxonomy.json + deck_info.json + docs). Decks retain original-resolution media (~1 GB total) and require Git LFS or a large-file dataset host. License: CC BY-NC 4.0 (LICENSE); third-party image/figure attributions in THIRD_PARTY_NOTICES.md. This v1 release is data only — the evaluation/judge harness is not included.

Maintenance

When adding decks or instructions: update deck_info.json; add the instructions to the per-deck source and regenerate prompts.jsonl / taxonomy.json; re-run the PII scrub and coverage audit. The benchmark is intended to grow toward the gaps listed under Known imbalances.