| --- |
| pretty_name: IMF Technical Assistance Reports — Recommendation Process Corpus |
| license: other |
| language: |
| - en |
| - es |
| - fr |
| - pt |
| - ar |
| - ru |
| task_categories: |
| - text-classification |
| - question-answering |
| - feature-extraction |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: reports |
| data_files: parquet/reports.parquet |
| - config_name: observations |
| data_files: parquet/observations.parquet |
| - config_name: recommendations |
| data_files: parquet/recommendations.parquet |
| - config_name: recommendations_conservative |
| data_files: parquet/recommendations_conservative.parquet |
| - config_name: links |
| data_files: parquet/links.parquet |
| - config_name: links_conservative |
| data_files: parquet/links_conservative.parquet |
| - config_name: figures |
| data_files: parquet/figures.parquet |
| --- |
| |
| # 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: |
|
|
| ```bibtex |
| @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 |
|
|
| ```text |
| 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. |
|
|
