Update README.md

README.md

@@ -9,17 +9,21 @@ size_categories:
 - 10K<n<100K
 ---
 
-A semi-cleaned, processed version of the [raw files uploaded elsewhere](https://huggingface.co/datasets/lemonilia/roleplaying-forums-raw). Contrarily to the processed [Elliquiy dataset](https://huggingface.co/datasets/lemonilia/Elliquiy-Role-Playing-Forums_2023-04) also posted, I've made an effort to preserve as much as possible of the original HTML while simplifying and converting it to HTML5 where possible and cleaning it, with again the exception of converting linebreaks into newlines. 
+# Giant in the Playground (roleplaying subforums only)
+
+A **semi-cleaned**, processed version of the [raw files uploaded elsewhere](https://huggingface.co/datasets/lemonilia/roleplaying-forums-raw) of the roleplaying sections (Play-by-Post Games) from _Giant in the Playground_. I've made an effort to preserve as much as possible of the original HTML while simplifying and converting it to HTML5 where possible and cleaning it, with the notable exception of converting HTML linebreaks into newlines. 
 
 I'm almost directly using these files for private finetuning tests, but in most cases they will probably need additional cleaning/processing.
 
-For user convenience, some metadata on the posts was also provided.
+For user convenience, some metadata on the posts was also provided. These can be used for preliminary data filtering without deeply inspecting the threads themselves.
 
 ## Contents
 The entirety of the _In-character_, _Structured Games_ and _Free Form Roleplaying_ subforums from GitP, for a total of about **26k threads and 6.4 million messages**. The latter two subforums are in the "Message Board Games" parquet file.
 
-## Usage notes
-The thread messages-usernames-timestamps are encapsulated into ShareGPT-like JSON strings; one row per complete thread. They need to be converted into your preferred structure for further processing into a usable dataset for training.
+## Usage notes and quirks
+- The thread messages-usernames-timestamps are encapsulated into ShareGPT-like JSON strings; one row per complete thread. They need to be converted into your preferred structure for further processing into a usable dataset for training.
+- Be aware that many threads in the dataset are very long (~1500 messages and several megabytes of data) and will need to be clipped in some sensible manner.
+- Some of the very recent data dated "yesterday" or "today" might not have correct timestamps.
 
 ## Processing done
 - Converted all `<br/>` (and their variants) to `\n`