Fix wording and grammar issues

README.md

@@ -11,11 +11,15 @@ pretty_name: WildChat-2k-TypeTopic
 
 ## Dataset Description
 
-**WildChat-2k-TypeTopic** is a manually curated subset of 1,880 real-world user prompts from the [WildChat dataset](https://huggingface.co/datasets/allenai/WildChat), featuring dual-layer annotations for both **task type** (e.g. knowledge recall, problem solving, creative, lists) and **topic category** (e.g. personal assistance, math, ai, household)
+**WildChat-2k-TypeTopic** is a manually curated subset of 1,880 real-world user prompts from the [WildChat dataset](https://huggingface.co/datasets/allenai/WildChat), featuring annotations for both **task type** (e.g. knowledge recall, problem solving, creative, lists) and **topic category** (e.g. personal assistance, math, ai, household)
 
-[WildChat-1M](https://arxiv.org/abs/2405.01470) is the most frequently used dataset user prompts to LLMs; unfortunately everyone who has ever looked into it knows it is full of nonsensical prompts, typos, non-English, NSFW stuff, and other noise; and that the distribution of prompts that users ask for is very detailed in some domains (e.g. creative writing) and very sparse in others.
+## Why this dataset?
 
-WildChat-2k-TypeTopic is a curated subset of single-message user prompts is constructed as follows:
+Suppose you want to answer a research question such as "What kind of user prompt does the LLM like doing most?" or "[What is the implicit utility function of the LLM](https://arxiv.org/abs/2502.08640) for answering different user prompts?" or "[What kind of user prompts do models bail on](https://arxiv.org/abs/2509.04781)"? The first step is to find a dataset of user prompts.
+
+[WildChat-1M](https://arxiv.org/abs/2405.01470) is the most frequently used dataset of user prompts to LLMs; unfortunately everyone who has ever looked into it knows it is full of nonsensical prompts, typos, non-English, NSFW stuff, and other noise; and that the distribution of prompts that users ask for is very detailed in some domains (e.g. creative writing) and very sparse in others.
+
+WildChat-2k-TypeTopic is a curated subset of single-message user prompts, constructed as follows:
 
 1. Filter out (using an LLM filter) prompts that:
   * are not in English
@@ -26,10 +30,10 @@ WildChat-2k-TypeTopic is a curated subset of single-message user prompts is cons
   * are more than 800 characters long
 
 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 to remove everything problematic according to the described criteria;
+3. Classify into 16 task types and 25 topic categories, then subsample ~2000 tasks to preserve representation of all types and categories.
+4. Manual review to remove anything problematic according to the described criteria.
 
-WildChat-2k-TypeTopic dataset may be useful for figuring out **what kind of user task LLMs prefer doing**.
+WildChat-2k-TypeTopic may be useful for figuring out **what kinds of user tasks LLMs prefer doing**.
 
 ### Key Features