Update README.md

README.md

@@ -1,3 +1,116 @@
 ---
-license: cc-by-nc-sa-4.0
+annotations_creators:
+- other
+language_creators:
+- other
+language:
+- en
+expert-generated license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- n<1K 
+source_datasets:
+- original 
+task_categories:
+- question-answering
+- text-retrieval
+- text2text-generation
+- other
+- translation
+- conversational
+task_ids:
+- extractive-qa
+- closed-domain-qa
+- utterance-retrieval
+- document-retrieval
+- closed-domain-qa
+- open-book-qa
+- closed-book-qa 
+train-eval-index:
+- config: nsds
+  task: token-classification 
+  task_id: entity_extraction
+  splits: 
+    train_split: train
+    eval_split: test
+  col_mapping:
+    sentence: text
+    label: target
+  metrics:
+    - type: nsme-com
+      name: NSME-COM
+      config:
+        nsds
+tags:
+- chatbots
+- e-commerce
+- retail
+- insurance
+- consumer
+- consumer goods
+configs:
+- nsds
 ---
+# Dataset Card for NSME-COM
+## Table of Contents
+- [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)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+## Dataset Description
+- **Homepage:** [https://huggingface.co/asaxena1990)
+- **Repository:** [https://huggingface.co/datasets/asaxena1990/NSME-COM)
+- **Point of Contact:** (Ayushman Dash <ayushman@neuralspace.ai>, Ankur Saxena <ankursaxena@neuralspace.ai>)
+- **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.
+
+### 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"
+ },
+```
+
+### Contributions
+Ankur Saxena (ankursaxena@neuralspace.ai)