| { |
| "adapter_defaults": { |
| "default_variant": "aggregate", |
| "records_only": true |
| }, |
| "artifacts": { |
| "additional_files": [ |
| "WORDNET_FORMAT.md" |
| ], |
| "derived_views": [ |
| { |
| "columns": [ |
| "synset_offset", |
| "ss_type", |
| "lex_filenum", |
| "gloss", |
| "lemmas", |
| "word_count", |
| "pointer_count" |
| ], |
| "computed_columns": { |
| "synset_id": "{synset_offset}:{ss_type}" |
| }, |
| "name": "synsets", |
| "output": "views/synsets.parquet", |
| "required_fields": [ |
| "synset_offset", |
| "ss_type", |
| "gloss" |
| ] |
| }, |
| { |
| "columns": [ |
| "synset_offset", |
| "ss_type", |
| "lex_filenum" |
| ], |
| "computed_columns": { |
| "synset_id": "{synset_offset}:{ss_type}", |
| "word_id": "{synset_offset}:{ss_type}:{word_number}" |
| }, |
| "explode": "words", |
| "explode_columns": [ |
| "word_number", |
| "word", |
| "lemma", |
| "marker", |
| "lex_id", |
| "lex_id_int" |
| ], |
| "name": "words", |
| "output": "views/words.parquet", |
| "required_fields": [ |
| "synset_offset", |
| "ss_type", |
| "words" |
| ] |
| }, |
| { |
| "columns": [ |
| "synset_offset", |
| "ss_type" |
| ], |
| "computed_columns": { |
| "source_synset_id": "{synset_offset}:{ss_type}", |
| "target_synset_id": "{target_offset}:{pos}" |
| }, |
| "explode": "pointers", |
| "explode_columns": [ |
| "symbol", |
| "label", |
| "target_offset", |
| "pos", |
| "source_target", |
| "source_word_number", |
| "target_word_number", |
| "is_semantic" |
| ], |
| "name": "pointers", |
| "output": "views/pointers.parquet", |
| "required_fields": [ |
| "synset_offset", |
| "ss_type", |
| "pointers" |
| ] |
| }, |
| { |
| "columns": [ |
| "synset_offset", |
| "ss_type" |
| ], |
| "computed_columns": { |
| "synset_id": "{synset_offset}:{ss_type}" |
| }, |
| "explode": "frames", |
| "explode_columns": [ |
| "frame_number", |
| "word_number", |
| "applies_to_all_words" |
| ], |
| "name": "frames", |
| "output": "views/frames.parquet", |
| "required_fields": [ |
| "synset_offset", |
| "ss_type", |
| "frames" |
| ] |
| } |
| ], |
| "preferred_format": "parquet" |
| }, |
| "command_defaults": { |
| "prepare_dataset": { |
| "options": { |
| "records_only": true |
| }, |
| "parse_records": true, |
| "variant": "aggregate" |
| }, |
| "publish_dataset": { |
| "options": { |
| "records_only": true |
| }, |
| "parse_records": true, |
| "variant": "aggregate" |
| }, |
| "run_dataset": { |
| "options": { |
| "records_only": true |
| }, |
| "parse_records": true, |
| "variant": "aggregate" |
| } |
| }, |
| "dataset_id": "wordnet", |
| "documentation": { |
| "dataset_card": { |
| "custom_sections": [ |
| { |
| "content": [ |
| "Use the data config for synset-level lexical structure.", |
| "Use the index config for lemma and offset lookup behavior.", |
| "Use the exceptions config for inflection-to-base mappings.", |
| "Use aggregate when you want one entry point and can filter by variant in downstream code." |
| ], |
| "title": "Config Selection Guidance" |
| } |
| ], |
| "evaluation_protocol": [ |
| "For ML benchmarks, define explicit train/validation/test derivations from the lexical splits.", |
| "Record any filtering or balancing logic to keep experiments reproducible." |
| ], |
| "intended_use": [ |
| "Lexical semantic analysis and symbolic NLP workflows.", |
| "Knowledge graph and relation-structure exploration.", |
| "Input resource for downstream task-specific data construction." |
| ], |
| "limitations": [ |
| "Not a native benchmark dataset with pre-defined evaluation partitions.", |
| "Coverage and lexical conventions follow WordNet source files." |
| ], |
| "schema_notes": [ |
| "The same part-of-speech split names (noun, verb, adj, adv) can appear across multiple configs.", |
| "The aggregate config combines variant outputs while preserving split names." |
| ], |
| "summary": "WordNet is published as lexical-resource views rather than benchmark train/validation/test tasks." |
| } |
| }, |
| "pipeline": { |
| "required_splits": [ |
| "noun", |
| "verb", |
| "adj", |
| "adv" |
| ], |
| "strict": false |
| }, |
| "profile": { |
| "citation": "Miller (1995), WordNet: A Lexical Database for English.", |
| "description": "Lexical database files for nouns, verbs, adjectives, and adverbs.", |
| "homepage": "https://wordnet.princeton.edu", |
| "license": "WordNet 3.0 license (Princeton)", |
| "tags": [ |
| "lexicon", |
| "wordnet", |
| "nlp" |
| ], |
| "title": "WordNet 3.0" |
| }, |
| "publish": { |
| "single_repo": { |
| "aggregate_config_name": "aggregate", |
| "default_path_template": "variants/{variant}", |
| "default_view_variant": "aggregate", |
| "repository_index_path": "tether.index.json", |
| "shared_description": "WordNet publishes an aggregate lexical view that keeps the noun, verb, adjective, and adverb splits intact while combining data, index, and exception rows under an explicit variant column.", |
| "variant_descriptions": { |
| "data": "Synset data files with glosses, words, pointers, and verb frames.", |
| "exceptions": "Exception files mapping inflected forms to base forms.", |
| "index": "Index files with lemma metadata, pointer symbol inventory, and synset offsets." |
| } |
| } |
| }, |
| "standardization": { |
| "canonical_column_map": {}, |
| "split_aliases": { |
| "dev": "validation", |
| "val": "validation", |
| "valid": "validation" |
| } |
| }, |
| "variants": { |
| "data": { |
| "request": { |
| "data_files": { |
| "adj": "data.adj", |
| "adv": "data.adv", |
| "noun": "data.noun", |
| "verb": "data.verb" |
| }, |
| "source": "text" |
| }, |
| "splits": [ |
| "noun", |
| "verb", |
| "adj", |
| "adv" |
| ] |
| }, |
| "exceptions": { |
| "request": { |
| "data_files": { |
| "adj": "adj.exc", |
| "adv": "adv.exc", |
| "noun": "noun.exc", |
| "verb": "verb.exc" |
| }, |
| "source": "text" |
| }, |
| "splits": [ |
| "noun", |
| "verb", |
| "adj", |
| "adv" |
| ] |
| }, |
| "index": { |
| "request": { |
| "data_files": { |
| "adj": "index.adj", |
| "adv": "index.adv", |
| "noun": "index.noun", |
| "verb": "index.verb" |
| }, |
| "source": "text" |
| }, |
| "splits": [ |
| "noun", |
| "verb", |
| "adj", |
| "adv" |
| ] |
| } |
| } |
| } |
|
|
