LearningPaper24 Dataset

This dataset contains video recordings and metadata from ICLR and NeurIPS 2024 conference talks. It includes both poster and oral presentations, along with their associated metadata such as titles, abstracts, keywords, and primary areas. The paper list is originally sourced from Paperlists.

Dataset Structure

learningpaper24/
├── README.md
├── metadata/
│   └── catalog.json
└── video/
    ├── {openreview_id}_{slideslive_id}.mp4
    └── ...

Data Format

Catalog (metadata/catalog.json)

The catalog contains metadata for each talk in JSON format with the following fields:

• video_file: Filename of the video recording in the format {openreview_id}_{slideslive_id}.mp4
• openreview_id: Unique identifier from OpenReview
• slideslive_id: Video identifier from SlidesLive
• venue: Conference venue (e.g., "iclr2024")
• title: Paper title
• status: Presentation type (e.g., "Poster", "Oral")
• keywords: Research keywords
• tldr: Short summary
• abstract: Full paper abstract
• primary_area: Main research area
• site: Link to the conference page

Videos

Videos are stored in the video directory with filenames following the format: {openreview_id}_{slideslive_id}.mp4

Usage

For easy access to the dataset, you can use the HuggingFace Datasets library. Here's a simple example to load and explore the dataset:

from datasets import load_dataset
dataset = load_dataset("vivianchen98/LearningPaper24", data_files="metadata/catalog.jsonl", split="train")

for i in range(3):
    print(f"\nSAMPLE {i + 1}")
    print("-" * 30)
    print(f"Video file: video/{dataset[i].get('video_file', 'N/A')}")
    print(f"TL;DR: {dataset[i].get('tldr', 'N/A')}")
    print(f"Primary area: {dataset[i].get('primary_area', 'N/A')}")
    print("=" * 50)

You can also use the example code provided in example.py for more systematic data exploration.

Purpose

This dataset can be used for:

• Video understanding and summarization
• Natural language processing tasks
• Video-text alignment studies

Dataset Statistics

The LearningPaper24 dataset contains a diverse collection of machine learning conference presentations:

Overview

• 📊 Total entries: 2,287 conference talks

Presentation Types

• 📝 Poster presentations: 1,986 (86.8%)
• 🔍 Spotlight presentations: 256 (11.2%)
• 🎤 Oral presentations: 45 (2.0%)

Conference Distribution

• 🏢 NeurIPS 2024: 1,726 talks (75.5%)
• 🏢 ICLR 2024: 561 talks (24.5%)

Research Areas

The dataset covers a wide range of machine learning topics, with the top 10 research areas being:

Research Area	Count	Percentage
Machine Vision	218	9.5%
Reinforcement Learning	125	5.5%
Natural Language Processing	123	5.4%
Optimization	112	4.9%
Learning Theory	111	4.9%
Diffusion-based Models	87	3.8%
Deep Learning Architectures	79	3.5%
Generative Models	79	3.5%
Probabilistic Methods	74	3.2%
Generative Models	74	3.2%

License

This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License.