README.md

metadata

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
paperswithcode_id: acronym-identification
pretty_name: Massive E-commerce Dataset for Retail and Insurance domain.
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 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: NeuralSpace Homepage
• Repository: NSME-COM Dataset
• Point of Contact: Ankur Saxena
• Point of Contact: Ayushman Dash
• 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

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.

  "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)