Update README.md

README.md

@@ -52,33 +52,18 @@ The data was gatherd from two subreddits: [r/dating_advice](https://www.reddit.c
 
 ### Supported Tasks and Leaderboards
 
-- `abstractive-qa`, `open-domain-abstractive-qa`: The dataset can be used to train a model for Open Domain Long Form Question Answering. An LFQA model is presented with a non-factoid and asked to retrieve relevant information from a knowledge source (such as [Wikipedia](https://www.wikipedia.org/)), then use it to generate a multi-sentence answer. The model performance is measured by how high its [ROUGE](https://huggingface.co/metrics/rouge) score to the reference is. A [BART-based model](https://huggingface.co/yjernite/bart_eli5) with a [dense retriever](https://huggingface.co/yjernite/retribert-base-uncased) trained to draw information from [Wikipedia passages](https://huggingface.co/datasets/wiki_snippets) achieves a [ROUGE-L of 0.149](https://yjernite.github.io/lfqa.html#generation).
+- `text-classification`: This dataset can be utilized to train a model for text classification. The model should categorize the comments into one of 6 labels, considering the post as the broader context.
+- `Natural Language Inference`: Given a post and its two comments, the model needs to decide which comment is more helpful to the post writer. Thus, the model must infer the subtle semantics of both comments and their related post.
 
 ### Languages
 
-The text in the dataset is in English, as spoken by Reddit users on the  [r/explainlikeimfive](https://www.reddit.com/r/explainlikeimfive/), [r/askscience](https://www.reddit.com/r/askscience/), and [r/AskHistorians](https://www.reddit.com/r/AskHistorians/) subreddits. The associated BCP-47 code is `en`.
+The text in the dataset is in English
 
 ## Dataset Structure
 
 ### Data Instances
 
-A typical data point comprises a question, with a `title` containing the main question and a `selftext` which sometimes elaborates on it, and a list of answers from the forum sorted by the number of upvotes they obtained. Additionally, the URLs in each of the text fields have been  extracted to respective lists and replaced by generic tokens in the text.
-
-An example from the ELI5 test set looks as follows:
-```
-{'q_id': '8houtx',
- 'title': 'Why does water heated to room temperature feel colder than the air around it?',
- 'selftext': '',
- 'document': '',
- 'subreddit': 'explainlikeimfive',
- 'answers': {'a_id': ['dylcnfk', 'dylcj49'],
-  'text': ["Water transfers heat more efficiently than air. When something feels cold it's because heat is being transferred from your skin to whatever you're touching. Since water absorbs the heat more readily than air, it feels colder.",
-   "Air isn't as good at transferring heat compared to something like water or steel (sit on a room temperature steel bench vs. a room temperature wooden bench, and the steel one will feel more cold).\n\nWhen you feel cold, what you're feeling is heat being transferred out of you.  If there is no breeze, you feel a certain way.  If there's a breeze, you will get colder faster (because the moving air is pulling the heat away from you), and if you get into water, its quite good at pulling heat from you.   Get out of the water and have a breeze blow on you while you're wet, all of the water starts evaporating, pulling even more heat from you."],
-  'score': [5, 2]},
- 'title_urls': {'url': []},
- 'selftext_urls': {'url': []},
- 'answers_urls': {'url': []}}
-```
+Each data point consists of a post, two comments, two labels for the comments, and a third label indicating which comment is more helpful to the post writer.
 
 ### Data Fields