FrenchCastle/IMF-Reports

IMF Technical Assistance Reports — Recommendation Process Corpus

A page-grounded research corpus of 780 IMF technical-assistance report records. It contains source PDFs, layout-aware Markdown, page-level text, extracted visuals, metadata, observations, recommendations, and labeled links between observations and recommendations.

Required acknowledgement

All research, publications, datasets, models, applications, or other work derived from this corpus should acknowledge and cite FrenchCastle as the corpus author/curator. The IMF remains the author and rights holder of the underlying source reports and must also be cited as the primary source.

Suggested citation:

@dataset{frenchcastle_imf_reports_2026,
  author    = {FrenchCastle},
  title     = {IMF Technical Assistance Reports: Recommendation Process Corpus},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/FrenchCastle/IMF-Reports},
  note      = {Source reports published by the International Monetary Fund}
}

Corpus contents

• Reports: 780
• Pages: 32880
• Observations: 59048
• Recommendation candidates (all types): 49800
• Conservative higher-confidence recommendations: 13097 across 657 reports
• Observation–recommendation links: 22250
• Conservative recommendation links: 3490
• Extracted visual assets: 15739
• Source/interim/processed validation failures: 0

Layout

data/raw/              IMF PDFs and acquisition manifests
data/interim/          report folders with document.md, pages.jsonl and visual assets
data/processed/        JSONL tables, per-report JSON and JSON Schema
parquet/               Hugging Face viewer-friendly relational tables
pipeline/              reproducible Python source, tests and research documentation

Evidence and link semantics

Every extracted observation and recommendation candidate has a verbatim page-grounded evidence span. Recommendation candidates are classified as:

• explicit_table: action/recommendation row in a designated table;
• explicit_attributed_statement: explicitly phrased as “the mission recommends” or equivalent;
• direct_action_in_recommendation_section: imperative or normative action in a recommendation section;
• normative_modal_candidate: should/must/need-to statement outside a recommendation section;
• recommendation_section_context_candidate: low-confidence surrounding context.

Use in_conservative_set=true or the recommendations_conservative configuration for the first three, higher-precision classes. The complete recommendations configuration is retained as a recall-oriented candidate set, not as a verified recommendation count.

Links with link_basis=explicit_table_row are explicit in a report table. Links labeled same_paragraph or same_or_adjacent_page_lexical_similarity are contextual associations and must not be interpreted as explicit causal relationships.

The structured layer is an unreviewed deterministic baseline, not a human-annotated gold standard. Review evidence before drawing substantive policy conclusions. Three reports have no automatically detected observations and four have no automatically detected recommendations. An empty list must not be interpreted as proof that the source report contains no findings or recommendations.

Visual hashes

Each visual has normalized-PNG SHA-256, 256-bit pHash, and 64-bit dHash. The global near-duplicate cluster identifier uses a pHash Hamming-distance threshold of 12, with exact duplicates identified separately.

Provenance and rights

The acquisition manifest records IMF source URLs, retrieval provenance, byte sizes, and source SHA-256 values. Internet Archive pages were used only to discover some legacy IMF PDF links; all corpus PDFs were fetched from IMF hosts.

Underlying reports and their content are published by and attributable to the International Monetary Fund. This dataset does not transfer ownership of source reports. Users are responsible for complying with IMF terms and applicable copyright rules. The license: other label reflects the mixed status of source publications and derived research metadata.