Add source-grounded human-readable NER schemas

label_description_sources.json

@@ -0,0 +1,28 @@
+{
+  "provenance_note": "MIT publishes the BIO corpora, label names, subset distinction, papers, and annotated examples, but no separate MIT-authored prose glossary for all labels was located. Descriptions are conservative operational paraphrases, not verbatim official definitions.",
+  "official_corpus_page": "https://sls.csail.mit.edu/downloads/",
+  "official_restaurant_files": [
+    "https://sls.csail.mit.edu/downloads/restaurant/restauranttrain.bio",
+    "https://sls.csail.mit.edu/downloads/restaurant/restauranttest.bio"
+  ],
+  "official_movie_simple_files": [
+    "https://sls.csail.mit.edu/downloads/movie/engtrain.bio",
+    "https://sls.csail.mit.edu/downloads/movie/engtest.bio"
+  ],
+  "official_movie_complex_files": [
+    "https://sls.csail.mit.edu/downloads/movie/trivia10k13train.bio",
+    "https://sls.csail.mit.edu/downloads/movie/trivia10k13test.bio"
+  ],
+  "primary_papers": {
+    "restaurant": {
+      "title": "A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling",
+      "url": "https://aclanthology.org/C14-1020/",
+      "evidence": "Describes the restaurant semantic parsing task, labels, and examples such as Price, Cuisine, Location, and Amenity."
+    },
+    "movie": {
+      "title": "A Conversational Movie Search System Based on Conditional Random Fields",
+      "url": "https://www.isca-archive.org/interspeech_2012/liu12d_interspeech.html",
+      "evidence": "Describes movie-query semantic classes and examples, including titles, actors, MPAA ratings, viewer ratings, reviews, directors, characters, soundtracks, trailers, release dates, genres, quotes, and plot synopsis."
+    }
+  }
+}

verification_report.json

@@ -0,0 +1,152 @@
+{
+  "script": "add_mit_schema.py",
+  "script_version": "1.0.1",
+  "source": {
+    "repo_id": "mneb/mit-restaurant",
+    "input_dir": null,
+    "resolved_source_root": "/mnt/iusers01/fatpou01/compsci01/y18944yw/.cache/huggingface/hub/datasets--mneb--mit-restaurant/snapshots/59bbf461473bd11c44a6681feb4471ebb6f8b18b",
+    "revision": null
+  },
+  "dataset": "restaurant",
+  "movie_subset_mode": "auto",
+  "schema_scope": "subset",
+  "verify_spans": false,
+  "require_complete_inventory": true,
+  "provenance": {
+    "provenance_note": "MIT publishes the BIO corpora, label names, subset distinction, papers, and annotated examples, but no separate MIT-authored prose glossary for all labels was located. Descriptions are conservative operational paraphrases, not verbatim official definitions.",
+    "official_corpus_page": "https://sls.csail.mit.edu/downloads/",
+    "official_restaurant_files": [
+      "https://sls.csail.mit.edu/downloads/restaurant/restauranttrain.bio",
+      "https://sls.csail.mit.edu/downloads/restaurant/restauranttest.bio"
+    ],
+    "official_movie_simple_files": [
+      "https://sls.csail.mit.edu/downloads/movie/engtrain.bio",
+      "https://sls.csail.mit.edu/downloads/movie/engtest.bio"
+    ],
+    "official_movie_complex_files": [
+      "https://sls.csail.mit.edu/downloads/movie/trivia10k13train.bio",
+      "https://sls.csail.mit.edu/downloads/movie/trivia10k13test.bio"
+    ],
+    "primary_papers": {
+      "restaurant": {
+        "title": "A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling",
+        "url": "https://aclanthology.org/C14-1020/",
+        "evidence": "Describes the restaurant semantic parsing task, labels, and examples such as Price, Cuisine, Location, and Amenity."
+      },
+      "movie": {
+        "title": "A Conversational Movie Search System Based on Conditional Random Fields",
+        "url": "https://www.isca-archive.org/interspeech_2012/liu12d_interspeech.html",
+        "evidence": "Describes movie-query semantic classes and examples, including titles, actors, MPAA ratings, viewer ratings, reviews, directors, characters, soundtracks, trailers, release dates, genres, quotes, and plot synopsis."
+      }
+    }
+  },
+  "groups": {
+    "restaurant": {
+      "published_inventory": [
+        "rating",
+        "amenity",
+        "location",
+        "restaurant name",
+        "price",
+        "hours",
+        "dish",
+        "cuisine"
+      ],
+      "observed_labels": [
+        "rating",
+        "amenity",
+        "location",
+        "restaurant name",
+        "price",
+        "hours",
+        "dish",
+        "cuisine"
+      ],
+      "missing_published_labels": [],
+      "schema_labels": [
+        "rating",
+        "amenity",
+        "location",
+        "restaurant name",
+        "price",
+        "hours",
+        "dish",
+        "cuisine"
+      ],
+      "descriptions": {
+        "rating": "An evaluative rating or quality assessment of a restaurant.",
+        "amenity": "A feature, facility, or service associated with a restaurant, such as takeout or a particular kind of seating.",
+        "location": "A restaurant's address, area, geographic location, or relative proximity.",
+        "restaurant name": "The name of a restaurant.",
+        "price": "A price, price range, or cost level associated with a restaurant.",
+        "hours": "A restaurant's opening, closing, or operating time.",
+        "dish": "A specific food or drink item served or requested.",
+        "cuisine": "A cuisine or type of food associated with a restaurant."
+      }
+    }
+  },
+  "files": [
+    {
+      "path": "data/mit_restaurant_test.jsonl",
+      "group": "restaurant",
+      "records": 1521,
+      "raw_label_counts": {
+        "amenity": 533,
+        "cuisine": 532,
+        "dish": 288,
+        "hours": 212,
+        "location": 812,
+        "price": 171,
+        "rating": 201,
+        "restaurant_name": 402
+      },
+      "canonical_label_counts": {
+        "amenity": 533,
+        "cuisine": 532,
+        "dish": 288,
+        "hours": 212,
+        "location": 812,
+        "price": 171,
+        "rating": 201,
+        "restaurant_name": 402
+      },
+      "sha256_of_canonical_records": "6b994c228baa03cc9b61be7b599d3928bde39fdd3eab32e485a4253da073e32b",
+      "verified": true
+    },
+    {
+      "path": "data/mit_restaurant_train.jsonl",
+      "group": "restaurant",
+      "records": 7660,
+      "raw_label_counts": {
+        "amenity": 2541,
+        "cuisine": 2839,
+        "dish": 1475,
+        "hours": 990,
+        "location": 3817,
+        "price": 730,
+        "rating": 1070,
+        "restaurant_name": 1901
+      },
+      "canonical_label_counts": {
+        "amenity": 2541,
+        "cuisine": 2839,
+        "dish": 1475,
+        "hours": 990,
+        "location": 3817,
+        "price": 730,
+        "rating": 1070,
+        "restaurant_name": 1901
+      },
+      "sha256_of_canonical_records": "820e1b0d79094f6693ae34eaabf006cfb40cafe5be29dc811de13a0229190704",
+      "verified": true
+    }
+  ],
+  "summary": {
+    "jsonl_files": 2,
+    "records": 9181,
+    "groups": [
+      "restaurant"
+    ],
+    "verified": true
+  }
+}