Update README.md

README.md

@@ -4,6 +4,11 @@ language:
 - en
 paperswithcode_id: embedding-data/WikiAnswers
 pretty_name: WikiAnswers
+task_categories:
+- sentence-similarity
+- paraphrase-mining
+task_ids:
+- semantic-similarity-classification
 ---
 
 # Dataset Card for "WikiAnswers"
@@ -43,15 +48,38 @@ pretty_name: WikiAnswers
 The WikiAnswers corpus contains clusters of questions tagged by WikiAnswers users as paraphrases. 
 Each cluster optionally contains an answer provided by WikiAnswers users. There are 30,370,994 clusters containing an average of 25 questions per cluster. 3,386,256 (11%) of the clusters have an answer.
 
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/afader/oqa#wikianswers-corpus)
-
+### Supported Tasks
+- [Sentence Transformers](https://huggingface.co/sentence-transformers) training; useful for semantic search and sentence similarity. 
 ### Languages
-
-[More Information Needed](https://github.com/afader/oqa#wikianswers-corpus)
-
+- English.
 ## Dataset Structure
+Each example in the dataset contains 25 equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".
+```
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+...
+{"set": [sentence_1, sentence_2, ..., sentence_25]}
+```
+This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar sentences.
+### Usage Example
+Install the 🤗 Datasets library with `pip install datasets` and load the dataset from the Hub with:
+```python
+from datasets import load_dataset
+dataset = load_dataset("embedding-data/WikiAnswers")
+```
+The dataset is loaded as a `DatasetDict` and has the format for `N` examples:
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['set'],
+        num_rows: N
+    })
+})
+```
+Review an example `i` with:
+```python
+dataset["train"][i]["set"]
+```
 
 ### Data Instances
 
@@ -59,19 +87,6 @@ Each cluster optionally contains an answer provided by WikiAnswers users. There
 
 ### Data Splits
 
-The data can be downloaded from: [http://knowitall.cs.washington.edu/oqa/data/wikianswers/](http://knowitall.cs.washington.edu/oqa/data/wikianswers/). 
-The corpus is split into 40 gzip-compressed files. The total compressed filesize is 8GB; the total decompressed filesize is 40GB. 
-Each file contains one cluster per line. Each cluster is a tab-separated list of questions and answers. 
-Questions are prefixed by q: and answers are prefixed by a:. Here is an example cluster (tabs replaced with newlines):
-
-```
-q:How many muslims make up indias 1 billion population?
-q:How many of india's population are muslim?
-q:How many populations of muslims in india?
-q:What is population of muslims in india?
-a:Over 160 million Muslims per Pew Forum Study as of October 2009.
-
-```
 
 ## Dataset Creation
 
@@ -142,5 +157,4 @@ a:Over 160 million Muslims per Pew Forum Study as of October 2009.
 
 ### Contributions
 
-Thanks to [Anthony Fader](https://dl.acm.org/profile/81324489111), [Luke Zettlemoyer](https://dl.acm.org/profile/81100527621), [Oren Etzioni](https://dl.acm.org/profile/99658633129) for adding this dataset.