Minor description edits

README.md

@@ -12,13 +12,13 @@ size_categories:
 - 10K<n<100K
 ---
 
-# YTSeg
+# From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions
 
-We present `YTSeg`, a topically and structurally diverse benchmark for the text segmentation task based on YouTube transcriptions. The dataset comprises 19,299 videos from 393 channels, amounting to 6,533 content hours. The topics are wide-ranging, covering domains such as science, lifestyle, politics, health, economy, and technology. The videos are from various types of content formats, such as podcasts, lectures, news, corporate events \& promotional content, and, more broadly, videos from individual content creators. We refer to the [paper](https://arxiv.org/abs/2402.17633) for further information.
+We present <span style="font-variant:small-caps; font-weight:700;">YTSeg</span>, a topically and structurally diverse benchmark for the text segmentation task based on YouTube transcriptions. The dataset comprises 19,299 videos from 393 channels, amounting to 6,533 content hours. The topics are wide-ranging, covering domains such as science, lifestyle, politics, health, economy, and technology. The videos are from various types of content formats, such as podcasts, lectures, news, corporate events \& promotional content, and, more broadly, videos from individual content creators. We refer to the [paper](https://arxiv.org/abs/2402.17633) for further information.
 
 ## Data Overview
 
-### YTSeg
+### <span style="font-variant:small-caps;">YTSeg</span>
 
 Each video is represented as a JSON object with the following fields:
 
@@ -37,7 +37,7 @@ Each video is represented as a JSON object with the following fields:
 | Testing    | 1,448 (7.5%)   |
 | Total      | 19,229        |
 
-### YTSeg[Titles]
+### <span style="font-variant:small-caps;">YTSeg[Titles]</span>
 
 Each chapter of a video is represented as a JSON object with the following fields:
 
@@ -69,14 +69,14 @@ In the script, you can further specify a target folder (default is `./video`) an
 
 ## Loading Data
 
-This repository comes with a simple, examplary script to read in the data with `pandas`.
+This repository comes with a simple, exemplary script to read in the data with `pandas`.
 
 ```py
 from load_data import get_partition
 test_data = get_partition('test')
 ```
 
-Equivalently, to read in `YTSeg[Titles]`:
+Equivalently, to read in <span style="font-variant:small-caps;">YTSeg[Titles]</span>:
 
 ```py
 from load_data import get_title_partition