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: [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. 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.

  "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)