metadata

language:
  - en
license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: train/*
      - split: dev
        path: dev/*
      - split: test
        path: test/*
dataset_info:
  features:
    - name: video_path
      dtype: string
    - name: audio
      dtype: audio
    - name: sr
      dtype: int64
    - name: abstract
      dtype: string
    - name: language
      dtype: string
    - name: split
      dtype: string
    - name: duration
      dtype: float64
    - name: conference
      dtype: string
    - name: year
      dtype: string
  config_name: default
  splits:
    - name: train
      num_examples: 4000
    - name: dev
      num_examples: 885
    - name: test
      num_examples: 1431
tags:
  - text
  - audio
  - video

Abstract Generation with ACL talks

This dataset is designed for the task of Multimodal Abstract Generation from scientific talks. It provides links to videos of academic presentations from ACL conferences, paired with their corresponding abstracts as well as the audio recordings. The goal is to generate concise, informative summaries (abstracts) based on the content.

Dataset Splits

Split	Number of Examples
train	4000
dev	885
test	1431

Dataset Fields

Field	Type	Description
`video_path`	`string`	The video URL to the ACL talk.
`audio`
	- `array`	A `numpy.ndarray` representing the audio signal.
	- `sampling_rate`	The sampling rate of the audio.
`sr`	`int`	The sampling rate of the audio.
`abstract`	`string`	The abstract of the ACL paper corresponding to the talk.
`language`	`string`	The language of the videos and audios: English.
`split`	`string`	The data split to which the entry belongs, such as "train," "dev," or "test."
`duration`	`float`	The duration of the video/audio content in seconds.
`conference`	`string`	The name of the conference associated with the dataset entry.
`year`	`string`	The year of the conference.

Citation

A dataset paper will be available soon.