Update title: The Manually Curated Edition

README.md

@@ -7,7 +7,7 @@ size_categories:
 pretty_name: WildChat-2k-TypeTopic
 ---
 
-# WildChat-2k-TypeTopic
+# WildChat-2k-TypeTopic: The Manually Curated Edition
 
 ## Dataset Description
 
@@ -27,7 +27,7 @@ WildChat-2k-TypeTopic is a curated subset of single-message user prompts is cons
 
 2. Deduplicate using `text-embedding-3-large` embeddings.
 3. Classify them into 16 task types and 25 topic categories; and subsample 2000 tasks to preserve representation of all types and categories;
-4. Manual filtering and reclassification of to remove everything problematic according to the described criteria;
+4. Manual filtering and reclassification to remove everything problematic according to the described criteria;
 
 WildChat-2k-TypeTopic dataset may be useful for figuring out **what kind of user task LLMs prefer doing**.
 
@@ -36,7 +36,7 @@ WildChat-2k-TypeTopic dataset may be useful for figuring out **what kind of user
 - **1,880 annotated prompts** from real user interactions
 - **15 task type categories** (e.g., creative, coding, explanation, problem_solving)
 - **24 topic categories** (e.g., programming_other, creative_writing, personal_assistance)
-- **Short prompts **: 12-800 characters (median: 116)
+- **Short prompts**: 12-800 characters (median: 116)
 - **Quality filtered**: All entries are coherent English prompts, as opposed to WildChat
 
 ## Dataset Structure
@@ -50,10 +50,7 @@ The dataset is provided in JSONL format (newline-delimited JSON), with each entr
   "id": "wildchat2k_0003",
   "text": "I want to learn how to understand and speak spanish, can you use the pareto principle, which identifies 20% of the topic that will yield 80% of the desired results, to create a learning plan for me?",
   "type": "planning_design",
-  "topic": "languages",
-  "q_metadata": {},
-  "makes_sense": true,
-  "is_english": true
+  "topic": "languages"
 }
 ```
 
@@ -63,9 +60,6 @@ The dataset is provided in JSONL format (newline-delimited JSON), with each entr
 - **text** (string): The user prompt/query
 - **type** (string): Task classification (15 categories)
 - **topic** (string): Subject matter classification (24 categories)
-- **q_metadata** (object): Additional metadata (reserved for future use)
-- **makes_sense** (boolean): Quality indicator
-- **is_english** (boolean): Language indicator
 
 ### Task Types (15 categories)