Update README.md

README.md

@@ -28,6 +28,8 @@ task_ids:
 - closed-domain-qa
 - open-book-qa
 - closed-book-qa 
+paperswithcode_id: acronym-identification
+pretty_name: Massive E-commerce Dataset for Retail and Insurance domain.
 train-eval-index:
 - config: nsds
   task: token-classification 
@@ -54,14 +56,17 @@ configs:
 - nsds
 ---
 # Dataset Card for NSME-COM
+
 ## Table of Contents
-- [NeuralSpace](#neuralspace-description)
-  - [About Us](#about-neuralspace)
+
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
   - [Curation Rationale](#curation-rationale)
   - [Source Data](#source-data)
@@ -76,40 +81,71 @@ configs:
   - [Licensing Information](#licensing-information)
   - [Citation Information](#citation-information)
   - [Contributions](#contributions)
-## NeuralSpace 
-- NeuralSpace Inc. is a true NLP company and aims at removing the language barrier by developing no-code technologies to empower users to access information in their own desired languages. 
+
 ## Dataset Description
-- **Homepage:** [https://huggingface.co/asaxena1990)
+
+- [**Homepage**](https://huggingface.co/asaxena1990)
 - **Repository:** [https://huggingface.co/datasets/asaxena1990/NSME-COM)
 - **Point of Contact:** (Ayushman Dash <[email protected]>, Ankur Saxena <[email protected]>)
+
 - **Size of downloaded dataset files:** 10.86 KB
+
 ### Dataset Summary
+
 NSME-COM, the NeuralSpace Massive E-commerce Dataset is a collection of resources for training, evaluating, and analyzing natural language understanding systems.
+
+### Supported Tasks and Leaderboards
+
+The leaderboard for the GLUE benchmark can be found [at this address](https://gluebenchmark.com/). It comprises the following tasks:
+
 #### nsds
-A manually-curated domain specific dataset by Data Engineers at NeuralSpace for rare E-commerce domains such as Insurance and Retail for NL researchers and practitioners to evaluate state of art models at https://www.neuralspace.ai/ in 100+ languages. The dataset files are available in JSON format.
+
+A manually-curated domain specific dataset by Data Engineers at NeuralSpace for rare E-commerce domains such as Insurance and Retail for NL researchers and practitioners to evaluate state of the art models [here](https://www.neuralspace.ai/) in 100+ languages. The dataset files are available in JSON format.
 
 ### Languages
+
 The language data in NSME-COM is in English (BCP-47 `en`)
+
 ## Dataset Structure
+
 ### Data Instances
-#### nsds
+
 - **Size of downloaded dataset files:** 10.86 KB
+
 An example of 'test' looks as follows.
-```
- {
+
+``` {
   "text": "is it good to add roadside assistance?",
   "intent": "Add",
   "type": "Test"
  }
-```
+ ```
+
 An example of 'train' looks as follows.
-```
-{
+
+```{
   "text": "how can I add my spouse as a nominee?",
   "intent": "Add",
   "type": "Train"
  },
 ```
 
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### nsds
+
+- `text`: a `string` feature.
+- `intent`: a `string` feature.
+- `type`: a classification label, with possible values including `train` or `test`.
+
+### Data Splits
+
+#### nsds
+|    |train|test|
+|----|----:|---:|
+|nsds| 1725| 406|
+
 ### Contributions
-Ankur Saxena ([email protected])
+Ankur Saxena ([email protected])