|
--- |
|
license: cc-by-sa-4.0 |
|
--- |
|
annotations_creators: |
|
- no-annotation |
|
language: |
|
- en |
|
language_creators: |
|
- expert-generated |
|
license: |
|
- cc-by-nc-sa-4.0 |
|
multilinguality: |
|
- monolingual |
|
paperswithcode_id: acronym-identification |
|
pretty_name: Massive E-commerce Dataset for Retail and Insurance domain. |
|
size_categories: |
|
- n<1K |
|
source_datasets: |
|
- original |
|
tags: |
|
- chatbots |
|
- e-commerce |
|
- retail |
|
- insurance |
|
- consumer |
|
- consumer goods |
|
|
|
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: |
|
|
|
- col_mapping: |
|
labels: tags |
|
tokens: tokens |
|
config: default |
|
splits: |
|
eval_split: test |
|
task: token-classification |
|
task_id: entity_extraction |