README.md

metadata

license: apache-2.0
task_categories:
  - image-to-text
  - question-answering
  - zero-shot-classification
language:
  - en
multilinguality:
  - monolingual
task_ids:
  - text-scoring
pretty_name: HL (High-Level Dataset)
size_categories:
  - 10K<n<100K
annotations_creators:
  - crowdsurced
annotations_origin:
  - crowdsurced
dataset_info:
  features:
    - name: file_name
      dtype: string
      captions:
        - name: scene
          sequence:
            dtype: string
        - name: action
          sequence:
            dtype: string
        - name: rationale
          sequence:
            dtype: string
        - name: object
          sequence:
            dtype: string
  splits:
    - name: train
      num_examples: 13498
    - name: test
      num_examples: 1499

Dataset Card for the High-Level Dataset

Table of Contents

• 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:
• **Repository:
• Paper:
• Point of Contact:

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

• object-detection: The dataset can be used to train a model for Object Detection. This task has an active leaderboard which can be found at https://paperswithcode.com/sota/object-detection-on-cppe-5. The metrics for this task are adopted from the COCO detection evaluation criteria, and include the mean Average Precision (AP) across IoU thresholds ranging from 0.50 to 0.95 at different scales.

Languages

English

Dataset Structure

[More Information Needed]

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information