# 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 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

- **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 (ankursaxena@neuralspace.ai)
task_categories:question-answering task_categories:text-retrieval task_categories:text2text-generation task_categories:other task_categories:translation task_categories:conversational task_ids:extractive-qa task_ids:closed-domain-qa task_ids:utterance-retrieval task_ids:document-retrieval task_ids:open-book-qa task_ids:closed-book-qa annotations_creators:other language_creators:other multilinguality:monolingual size_categories:n<1K source_datasets:original language:en chatbots e-commerce retail insurance consumer consumer goods region:us
{"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "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"], "paperswithcode_id": "acronym-identification", "pretty_name": "Massive E-commerce Dataset for Retail and Insurance domain.", "expert-generated license": ["cc-by-nc-sa-4.0"], "tags": ["chatbots", "e-commerce", "retail", "insurance", "consumer", "consumer goods"], "configs": ["nsds"], "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
#task_categories-question-answering #task_categories-text-retrieval #task_categories-text2text-generation #task_categories-other #task_categories-translation #task_categories-conversational #task_ids-extractive-qa #task_ids-closed-domain-qa #task_ids-utterance-retrieval #task_ids-document-retrieval #task_ids-open-book-qa #task_ids-closed-book-qa #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #chatbots #e-commerce #retail #insurance #consumer #consumer goods #region-us 

Dataset Card for NSME-COM
=========================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository: [URL
* Point of Contact: (Ayushman Dash [ayushman@URL](mailto:ayushman@URL), Ankur Saxena [ankursaxena@URL](mailto:ankursaxena@URL))
* 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. 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 the art models here 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


* Size of downloaded dataset files: 10.86 KB


An example of 'test' looks as follows.


An example of 'train' looks as follows.


### 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



### Contributions


Ankur Saxena (ankursaxena@URL)



### 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. 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 the art models here 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


* Size of downloaded dataset files: 10.86 KB


An example of 'test' looks as follows.


An example of 'train' looks as follows. ### 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 ### Contributions


Ankur Saxena (ankursaxena@URL)
TAGS
#task_categories-question-answering #task_categories-text-retrieval #task_categories-text2text-generation #task_categories-other #task_categories-translation #task_categories-conversational #task_ids-extractive-qa #task_ids-closed-domain-qa #task_ids-utterance-retrieval #task_ids-document-retrieval #task_ids-open-book-qa #task_ids-closed-book-qa #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #chatbots #e-commerce #retail #insurance #consumer #consumer goods #region-us 
 ### 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. 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 the art models here 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


* Size of downloaded dataset files: 10.86 KB


An example of 'test' looks as follows.


An example of 'train' looks as follows. ### 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 ### Contributions


Ankur Saxena (ankursaxena@URL)
passage: TAGS
#task_categories-question-answering #task_categories-text-retrieval #task_categories-text2text-generation #task_categories-other #task_categories-translation #task_categories-conversational #task_ids-extractive-qa #task_ids-closed-domain-qa #task_ids-utterance-retrieval #task_ids-document-retrieval #task_ids-open-book-qa #task_ids-closed-book-qa #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #chatbots #e-commerce #retail #insurance #consumer #consumer goods #region-us 
### 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. 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 the art models here 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


* Size of downloaded dataset files: 10.86 KB


An example of 'test' looks as follows.


An example of 'train' looks as follows.### 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