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| # Columns | |
| Part of [MBDef](https://huggingface.co/datasets/mediabiasgroup/MBDef). The columns of the five tables, one list per table. What a row is: [What one row is](https://huggingface.co/datasets/mediabiasgroup/MBDef/blob/main/docs/tables.md). | |
| ## `terms` | |
| - `concept_id`, `term`: the concept and its name (its most frequent spelling). | |
| - `spellings`: every spelling, with how many papers write it. | |
| - `papers`: how many papers define the concept. `strict`: true when at least one of its rows passes the stricter cut. | |
| - `definitions`, `description`, `synonyms`, `related_terms`, `subtypes`, `supertypes`, `examples`: the merged items, most often stated first ([how items merge](https://huggingface.co/datasets/mediabiasgroup/MBDef/blob/main/docs/terms-view.md)). Each item has: | |
| - `text`: its most frequent form; | |
| - `papers`: how many papers state it; | |
| - `links_to`: for names, the concept the item names, if it is one of the dataset's concepts; | |
| - `variants`: the forms that were merged, with their papers (empty when there was one form); | |
| - `sources`: every paper and row that states it (`paper_id`, `mention_id`, `def_id` for definitions, `as_written` when the paper's wording differs from `text`, and `citations`). | |
| ## `concepts` | |
| - `concept_id`: a stable id ("g" plus 12 hex digits). | |
| - `label`: the most frequent spelling. `labels`: all spellings, most frequent first. | |
| - `match_key`: the normalised word set that the spellings share. | |
| - `n_instances`, `n_papers`, `n_definitions`: the counts. `n_strict`: how many of the concept's rows pass the stricter cut. | |
| - `merge_flags`: for concepts that join different spellings, the kinds of join someone may want to check: same words in a different order, spacing, a dropped bracket or acronym, a plural with two possible singulars, an irregular or "-ics" plural, British spelling. 1,052 concepts have at least one flag. | |
| - `joined_by`: every key that two or more of the concept's spellings share, with those spellings ([tracing a merge](https://huggingface.co/datasets/mediabiasgroup/MBDef/blob/main/docs/term-merging.md)). | |
| - `mention_ids`: the concept's rows in `instances`. | |
| ## `instances` | |
| - `mention_id`: the row id. `concept_id`: the concept the row belongs to. | |
| - `term`: the term as the paper writes it (its original label). | |
| - `word_set_key`, `spacing_key`: the two normalised keys the merging compares. | |
| - `normalisation`: each step that changed the term before matching, in plain words. | |
| - `paper_id`: the source paper. | |
| - `corpus`: `seeds` (found by the literature search) or `closure` (cited by a seed paper). | |
| - `n_definitions`: how many definitions the row has. | |
| - `ensemble_score`: the relevance score that decided the row, between 0 and 1. `strict`: true when the row also passes the stricter cut (0.5850). | |
| - `classifier_score`, `basal_score`, `judge_score`: the three member scores. | |
| - `classifier_ref_rank`, `basal_ref_rank`, `judge_ref_rank`: each member score placed among that member's scores on the labelled training records, 0 to 1 ([how scores are combined](https://huggingface.co/datasets/mediabiasgroup/MBDef/blob/main/docs/relevance.md)). | |
| - `description`, `synonyms`, `related_terms`, `subtypes`, `supertypes`, `examples`: everything else the extraction lists for the term in this paper, each a list of `{text, citations}` (empty when the paper gives none; [what they are](https://huggingface.co/datasets/mediabiasgroup/MBDef/blob/main/docs/terms-view.md)). | |
| ## `definitions` | |
| - `def_id`: the row id. | |
| - `mention_id`, `concept_id`, `paper_id`, `term`: the row's term-in-paper, concept, paper and term. | |
| - `text`: the definition as quoted. | |
| - `citations`: the references the paper gives for it, as written. 40,927 definitions have at least one. | |
| ## `papers` | |
| - `paper_id`: the paper's id in this dataset. `corpus`: `seeds` or `closure`. | |
| - `doi`: known for 5,287 papers. `title`. | |
| - `year`: known for 5,289 papers (5,086 from OpenAlex). | |
| - `openalex_id`. `oa_status`: OpenAlex's open-access status. | |
| - `open_licence`: the most open licence that OpenAlex records for any version of the paper. `licence_url`: where that version is. | |
| - `n_instances`, `n_definitions`: the counts. | |