added vocabs

README.md

@@ -76,7 +76,16 @@ This repository contains two dataset — **Bills** and **Wiki** — each with **
 | `tokenized_text` | list[string] | Preprocessed tokens from Hoyle et al. (2022), 15 k vocabulary. |
 | `embeddings` | list[float] (384) | Sentence embedding (MiniLM-L6-v2). *Absent in test split.* |
 
----
+
+## Vocabularies
+
+The dataset includes the **15k-token vocabularies** used during preprocessing and model training.  
+Each file is a JSON mapping of **token -> integer index** (0–14,999).
+
+| File | Description |
+|------|-------------|
+| `data_with_embeddings/vocabs/bills_vocab.json` | Vocabulary for the Bills corpus. Keys are tokens, values are integer indices. |
+| `data_with_embeddings/vocabs/wiki_vocab.json`  | Vocabulary for the Wiki corpus. Keys are tokens, values are integer indices. |
 
 ## Usage Example
 
@@ -119,14 +128,24 @@ If you use this dataset, please cite:
 
 ```bibtex
 @inproceedings{hoyle-etal-2025-proxann,
-  title = "{P}rox{A}nn: Use-Oriented Evaluations of Topic Models and Document Clustering",
-  author = "Hoyle, Alexander Miserlis and Calvo-Bartolom{\\'e}, Lorena and Boyd-Graber, Jordan Lee and Resnik, Philip",
-  booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
-  year = "2025",
-  address = "Vienna, Austria",
-  publisher = "Association for Computational Linguistics",
-  url = "https://aclanthology.org/2025.acl-long.772/",
-  doi = "10.18653/v1/2025.acl-long.772",
-  pages = "15872--15897"
+    title = "{P}rox{A}nn: Use-Oriented Evaluations of Topic Models and Document Clustering",
+    author = "Hoyle, Alexander Miserlis  and
+      Calvo-Bartolom{\'e}, Lorena  and
+      Boyd-Graber, Jordan Lee  and
+      Resnik, Philip",
+    editor = "Che, Wanxiang  and
+      Nabende, Joyce  and
+      Shutova, Ekaterina  and
+      Pilehvar, Mohammad Taher",
+    booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+    month = jul,
+    year = "2025",
+    address = "Vienna, Austria",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.acl-long.772/",
+    doi = "10.18653/v1/2025.acl-long.772",
+    pages = "15872--15897",
+    ISBN = "979-8-89176-251-0",
+    abstract = "Topic models and document-clustering evaluations either use automated metrics that align poorly with human preferences, or require expert labels that are intractable to scale. We design a scalable human evaluation protocol and a corresponding automated approximation that reflect practitioners' real-world usage of models. Annotators{---}or an LLM-based proxy{---}review text items assigned to a topic or cluster, infer a category for the group, then apply that category to other documents. Using this protocol, we collect extensive crowdworker annotations of outputs from a diverse set of topic models on two datasets. We then use these annotations to validate automated proxies, finding that the best LLM proxy is statistically indistinguishable from a human annotator and can therefore serve as a reasonable substitute in automated evaluations."
 }
 ```

metadata.json

@@ -1,223 +1,110 @@
 {
-    "name": "proxann_data",
-    "version": "1.0.0",
-    "license": "mit",
-    "language": "en",
-    "pretty_name": "PROXANN Data",
-    "description": "Data used for training and evaluation in the 'PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering' paper. The files contain the original metadata from Merity et al. (2017) (Wiki) and Adler & Wilkerson (2008) (Bills). The preprocessed version (tokenized_text) comes from Hoyle et al. (2022), using their 15,000-word vocabulary version. Contextualized embeddings were generated using the all-MiniLM-L6-v2 model, with code available in the PROXANN repository.",
-    "size_categories": [
-        "10K<n<100K"
-    ],
-    "splits": {
-        "bills_train": {
-            "filename": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
-            "num_rows": 32661,
-            "description": "Congressional bills (Adler & Wilkerson, 2008) with summaries, topics, and 384-dim MiniLM embeddings."
-        },
-        "bills_test": {
-            "filename": "bills_test.metadata.parquet",
-            "num_rows": 15242,
-            "description": "Bills test split without embeddings (metadata only)."
-        },
-        "wiki_train": {
-            "filename": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
-            "num_rows": 14290,
-            "description": "Wikipedia articles (Merity et al., 2017) with categories and 384-dim MiniLM embeddings."
-        },
-        "wiki_test": {
-            "filename": "wiki_test.metadata.parquet",
-            "num_rows": 8024,
-            "description": "Wikipedia test split without embeddings (metadata only)."
-        }
+  "name": "proxann_data",
+  "version": "1.1.0",
+  "license": "mit",
+  "language": "en",
+  "pretty_name": "PROXANN Data",
+  "description": "Data used for training and evaluation in the 'PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering' paper. The files contain the original metadata from Merity et al. (2017) (Wiki) and Adler & Wilkerson (2008) (Bills). The preprocessed version (tokenized_text) comes from Hoyle et al. (2022), using their 15,000-word vocabulary version. Contextualized embeddings were generated using the all-MiniLM-L6-v2 model, with code available in the PROXANN repository.",
+  "size_categories": ["10K<n<100K"],
+  "splits": {
+    "bills_train": {
+      "filename": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
+      "num_rows": 32661,
+      "description": "Congressional bills (Adler & Wilkerson, 2008) with summaries, topics, and 384-dim MiniLM embeddings."
     },
-    "schemas": {
-        "bills_train": {
-            "columns": {
-                "id": {
-                    "type": "string",
-                    "description": "Unique identifier."
-                },
-                "summary": {
-                    "type": "string",
-                    "description": "Short summary of the bill."
-                },
-                "topic": {
-                    "type": "string",
-                    "description": "Primary topic label."
-                },
-                "subtopic": {
-                    "type": "string",
-                    "description": "Secondary topic label."
-                },
-                "subjects_top_term": {
-                    "type": "string",
-                    "description": "Top subject term for the bill."
-                },
-                "date": {
-                    "type": "string",
-                    "description": "Document date (ISO-8601 format)."
-                },
-                "tokenized_text": {
-                    "type": "list[string]",
-                    "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary."
-                },
-                "embeddings": {
-                    "type": "list[float]",
-                    "length": 384,
-                    "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split."
-                }
-            }
-        },
-        "bills_test": {
-            "columns": {
-                "id": {
-                    "type": "string",
-                    "description": "Unique identifier."
-                },
-                "summary": {
-                    "type": "string",
-                    "description": "Short summary of the bill."
-                },
-                "topic": {
-                    "type": "string",
-                    "description": "Primary topic label."
-                },
-                "subtopic": {
-                    "type": "string",
-                    "description": "Secondary topic label."
-                },
-                "subjects_top_term": {
-                    "type": "string",
-                    "description": "Top subject term for the bill."
-                },
-                "date": {
-                    "type": "string",
-                    "description": "Document date (ISO-8601 format)."
-                },
-                "tokenized_text": {
-                    "type": "list[string]",
-                    "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary."
-                }
-            }
-        },
-        "wiki_train": {
-            "columns": {
-                "id": {
-                    "type": "string",
-                    "description": "Unique identifier."
-                },
-                "text": {
-                    "type": "string",
-                    "description": "Article text (raw or normalized)."
-                },
-                "supercategory": {
-                    "type": "string",
-                    "description": "High-level category."
-                },
-                "category": {
-                    "type": "string",
-                    "description": "Primary category."
-                },
-                "subcategory": {
-                    "type": "string",
-                    "description": "Secondary category."
-                },
-                "page_name": {
-                    "type": "string",
-                    "description": "Wikipedia page title."
-                },
-                "tokenized_text": {
-                    "type": "list[string]",
-                    "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary."
-                },
-                "embeddings": {
-                    "type": "list[float]",
-                    "length": 384,
-                    "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split."
-                }
-            }
-        },
-        "wiki_test": {
-            "columns": {
-                "id": {
-                    "type": "string",
-                    "description": "Unique identifier."
-                },
-                "text": {
-                    "type": "string",
-                    "description": "Article text (raw or normalized)."
-                },
-                "supercategory": {
-                    "type": "string",
-                    "description": "High-level category."
-                },
-                "category": {
-                    "type": "string",
-                    "description": "Primary category."
-                },
-                "subcategory": {
-                    "type": "string",
-                    "description": "Secondary category."
-                },
-                "page_name": {
-                    "type": "string",
-                    "description": "Wikipedia page title."
-                },
-                "tokenized_text": {
-                    "type": "list[string]",
-                    "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary."
-                }
-            }
-        }
+    "bills_test": {
+      "filename": "bills_test.metadata.parquet",
+      "num_rows": 15242,
+      "description": "Bills test split without embeddings (metadata only)."
     },
-    "data_stats": {
-        "table": [
-            {
-                "split": "bills_train",
-                "file": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
-                "rows": 32661,
-                "description": "Congressional bills with summaries, topics, and 384-dim embeddings."
-            },
-            {
-                "split": "bills_test",
-                "file": "bills_test.metadata.parquet",
-                "rows": 15242,
-                "description": "Bills test split without embeddings (metadata only)."
-            },
-            {
-                "split": "wiki_train",
-                "file": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
-                "rows": 14290,
-                "description": "Wikipedia articles with categories and 384-dim embeddings."
-            },
-            {
-                "split": "wiki_test",
-                "file": "wiki_test.metadata.parquet",
-                "rows": 8024,
-                "description": "Wikipedia test split without embeddings (metadata only)."
-            }
-        ]
+    "wiki_train": {
+      "filename": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet",
+      "num_rows": 14290,
+      "description": "Wikipedia articles (Merity et al., 2017) with categories and 384-dim MiniLM embeddings."
     },
-    "creator": "Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber, Philip Resnik",
-    "source": {
-        "provider": "Wikipedia",
-        "type": "paper",
-        "note": "We use the curated versions from 'Are Neural Topic Models Broken?' (Hoyle et al., 2022).",
-        "repository": "https://github.com/ahoho/topics"
+    "wiki_test": {
+      "filename": "wiki_test.metadata.parquet",
+      "num_rows": 8024,
+      "description": "Wikipedia test split without embeddings (metadata only)."
+    }
+  },
+  "schemas": {
+    "bills_train": {
+      "columns": {
+        "id": { "type": "string", "description": "Unique identifier." },
+        "summary": { "type": "string", "description": "Short summary of the bill." },
+        "topic": { "type": "string", "description": "Primary topic label." },
+        "subtopic": { "type": "string", "description": "Secondary topic label." },
+        "subjects_top_term": { "type": "string", "description": "Top subject term for the bill." },
+        "date": { "type": "string", "description": "Document date (ISO-8601 format)." },
+        "tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." },
+        "embeddings": { "type": "list[float]", "length": 384, "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split." }
+      }
     },
-    "dataset_type": "text",
-    "tags": [
-        "parquet",
-        "text",
-        "topic-modeling",
-        "bills",
-        "proxann",
-        "english"
-    ],
-    "task_categories": [
-        "unsupervised-learning",
-        "topic-modeling",
-        "clustering"
-    ],
-    "citation": "@inproceedings{hoyle-etal-2025-proxann, title = {PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering}, author = {Hoyle, Alexander Miserlis and Calvo-Bartolomé, Lorena and Boyd-Graber, Jordan Lee and Resnik, Philip}, booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, year = {2025}, address = {Vienna, Austria}, publisher = {Association for Computational Linguistics}, url = {https://aclanthology.org/2025.acl-long.772/}, doi = {10.18653/v1/2025.acl-long.772} }"
-}
+    "bills_test": {
+      "columns": {
+        "id": { "type": "string", "description": "Unique identifier." },
+        "summary": { "type": "string", "description": "Short summary of the bill." },
+        "topic": { "type": "string", "description": "Primary topic label." },
+        "subtopic": { "type": "string", "description": "Secondary topic label." },
+        "subjects_top_term": { "type": "string", "description": "Top subject term for the bill." },
+        "date": { "type": "string", "description": "Document date (ISO-8601 format)." },
+        "tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." }
+      }
+    },
+    "wiki_train": {
+      "columns": {
+        "id": { "type": "string", "description": "Unique identifier." },
+        "text": { "type": "string", "description": "Article text (raw or normalized)." },
+        "supercategory": { "type": "string", "description": "High-level category." },
+        "category": { "type": "string", "description": "Primary category." },
+        "subcategory": { "type": "string", "description": "Secondary category." },
+        "page_name": { "type": "string", "description": "Wikipedia page title." },
+        "tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." },
+        "embeddings": { "type": "list[float]", "length": 384, "description": "Sentence embedding (MiniLM-L6-v2). Absent in test split." }
+      }
+    },
+    "wiki_test": {
+      "columns": {
+        "id": { "type": "string", "description": "Unique identifier." },
+        "text": { "type": "string", "description": "Article text (raw or normalized)." },
+        "supercategory": { "type": "string", "description": "High-level category." },
+        "category": { "type": "string", "description": "Primary category." },
+        "subcategory": { "type": "string", "description": "Secondary category." },
+        "page_name": { "type": "string", "description": "Wikipedia page title." },
+        "tokenized_text": { "type": "list[string]", "description": "Preprocessed tokens from Hoyle et al. (2022), 15k vocabulary." }
+      }
+    }
+  },
+  "resources": {
+    "vocabularies": [
+      {
+        "filename": "data_with_embeddings/vocabs/bills_vocab.json",
+        "description": "Vocabulary for the Bills corpus."
+      },
+      {
+        "filename": "data_with_embeddings/vocabs/wiki_vocab.json",
+        "description": "Vocabulary for the Wiki corpus."
+      }
+    ]
+  },
+  "data_stats": {
+    "table": [
+      { "split": "bills_train", "file": "bills_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", "rows": 32661, "description": "Congressional bills with summaries, topics, and 384-dim embeddings." },
+      { "split": "bills_test", "file": "bills_test.metadata.parquet", "rows": 15242, "description": "Bills test split without embeddings (metadata only)." },
+      { "split": "wiki_train", "file": "wiki_train.metadata.embeddings.jsonl.all-MiniLM-L6-v2.parquet", "rows": 14290, "description": "Wikipedia articles with categories and 384-dim embeddings." },
+      { "split": "wiki_test", "file": "wiki_test.metadata.parquet", "rows": 8024, "description": "Wikipedia test split without embeddings (metadata only)." }
+    ]
+  },
+  "creator": "Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber, Philip Resnik",
+  "source": {
+    "provider": "Wikipedia",
+    "type": "paper",
+    "note": "We use the curated versions from 'Are Neural Topic Models Broken?' (Hoyle et al., 2022).",
+    "repository": "https://github.com/ahoho/topics"
+  },
+  "dataset_type": "text",
+  "tags": ["parquet", "text", "topic-modeling", "bills", "proxann", "english", "vocabulary"],
+  "task_categories": ["unsupervised-learning", "topic-modeling", "clustering"],
+  "citation": "@inproceedings{hoyle-etal-2025-proxann, title = {PROXANN: Use-Oriented Evaluations of Topic Models and Document Clustering}, author = {Hoyle, Alexander Miserlis and Calvo-Bartolomé, Lorena and Boyd-Graber, Jordan Lee and Resnik, Philip}, booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, year = {2025}, address = {Vienna, Austria}, publisher = {Association for Computational Linguistics}, url = {https://aclanthology.org/2025.acl-long.772/}, doi = {10.18653/v1/2025.acl-long.772} }"
+}