Update README.md

README.md

@@ -4,6 +4,11 @@ language:
 - en
 paperswithcode_id: embedding-data/sentence-compression
 pretty_name: sentence-compression
+task_categories:
+- sentence-similarity
+- paraphrase-mining
+task_ids:
+- semantic-similarity-classification
 ---
 
 # Dataset Card for "sentence-compression"
@@ -44,24 +49,44 @@ pretty_name: sentence-compression
 - **Total amount of disk used:** 14.2 MB
 
 ### Dataset Summary
-Large corpus of uncompressed and compressed sentences from news articles.
-
+Dataset with pairs of equivalent sentences.
 The dataset is provided "AS IS" without any warranty, express or implied. 
-Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
-
-The algorithm to collect the data is described here: Overcoming the Lack of Parallel Data in Sentence Compression, 
-Katja Filippova and Yasemin Altun, Proceedings of the 2013 Conference on Empirical Methods in 
-Natural Language Processing (EMNLP '13), pp. 1481-1491. [pdf](https://aclanthology.org/D13-1155.pdf)
+Google disclaims all liability for any damages, direct or indirect, resulting from using the dataset.
 
 Disclaimer: The team releasing sentence-compression did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.
 
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/google-research-datasets/sentence-compression)
-
+### Supported Tasks
+- [Sentence Transformers](https://huggingface.co/sentence-transformers) training; useful for semantic search and sentence similarity. 
 ### Languages
-
-[More Information Needed](https://github.com/google-research-datasets/sentence-compression)
+- English.
+## Dataset Structure
+Each example in the dataset contains pairs of 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]}
+{"set": [sentence_1, sentence_2]}
+...
+{"set": [sentence_1, sentence_2]}
+```
+This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of 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/sentence-compression")
+```
+The dataset is loaded as a `DatasetDict` and has the format:
+```python
+DatasetDict({
+    train: Dataset({
+        features: ['set'],
+        num_rows: 180000
+    })
+})
+```
+Review an example `i` with:
+```python
+dataset["train"][i]["set"]
+```
 
 ### Curation Rationale
 
@@ -117,6 +142,6 @@ Disclaimer: The team releasing sentence-compression did not upload the dataset t
 
 ### Contributions
 
-Thanks to [@katja-f](https://github.com/katja-f), [Google Research Datasets](https://github.com/google-research-datasets), [@dave-orr](https://github.com/dave-orr) for adding this dataset.
+