README.md

metadata

license: cc-by-4.0
task_categories:
  - summarization
  - text-generation
language:
  - en
tags:
  - croissant
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: title_10K
    features:
      - name: url
        dtype: string
      - name: published
        dtype: string
      - name: title
        dtype: string
      - name: abstract
        dtype: string
      - name: gt
        dtype: string
      - name: primary_cat
        dtype: string
      - name: paper_cat
        dtype: string
      - name: updated
        dtype: string
      - name: main_content
        dtype: string
      - name: authors
        dtype: string
      - name: label
        dtype: string
      - name: cats
        sequence: string
  - config_name: abs_9K
    features:
      - name: url
        dtype: string
      - name: published
        dtype: string
      - name: title
        dtype: string
      - name: abstract
        dtype: string
      - name: gt
        dtype: string
      - name: primary_cat
        dtype: string
      - name: paper_cat
        dtype: string
      - name: updated
        dtype: string
      - name: main_content
        dtype: string
      - name: authors
        dtype: string
      - name: label
        dtype: string
      - name: cats
        sequence: string
  - config_name: intro_8K
    features:
      - name: url
        dtype: string
      - name: published
        dtype: string
      - name: title
        dtype: string
      - name: abstract
        dtype: string
      - name: gt
        dtype: string
      - name: primary_cat
        dtype: string
      - name: paper_cat
        dtype: string
      - name: updated
        dtype: string
      - name: main_content
        dtype: string
      - name: authors
        dtype: string
      - name: label
        dtype: string
      - name: cats
        sequence: string
configs:
  - config_name: title_10K
    data_files:
      - split: test
        path: title_10K/test_*.json
  - config_name: abs_9K
    data_files:
      - split: test
        path: abs_9K/test_*.json
  - config_name: intro_8K
    data_files:
      - split: test
        path: intro_8K/test_*.json
pretty_name: AcademicEval

AcademicEval Benchmark Introduction

We proposed AcademicEval, a live benchmark for evaluating LLMs over long-context generation tasks. AcademicEval adopts papers on arXiv to introduce several acadeic writing tasks with long-context inputs, i.e., Title, Abstract, Introduction, Related Work, wich covers a wide range of abstraction levels and require no manual labeling.

Comparing to existing long-context LLM benchmarks, our Comparing to existing long-context LLM benchmarks, our AcademicEval offers flexible length, automatic annotation, hierarchical abstraction, few-shot demonstrations, and live updates without data leakage risks.

🌟Note🌟: currently, for the ease of downloading, we only uploaded the test set of AcademicEval (The rest of AcademicEval, i.e., train and val set, can be accessed via AcademicEval Full). The data viewer above shows the preview data information of title-10K, abs-9K, and intro-8K. For the complete test set data, please check "Files and versions" in this page.

Benchmark	Avg Len	Automatic Annotation	Hierarchical Abstraction	Few-shot Demonstrations	Live Update
ZeroSCROLLS (Shaham et al., 2023)	~10K	✓	✘	✘	✘
L-Eval (An et al., 2023)	~8K	✘	✘	✘	✘
BAMBOO (Dong et al., 2023)	~16K	✘	✘	✘	✘
LongBench (Bai et al., 2023)	~8K	✘	✘	✓	✘
LooGLE (Li et al., 2023)	~20K	✘	✘	✘	✘
∞Bench (Zhang et al., 2024)	~200K	✘	✘	✘	✘
AcademicEval (ours)	Flexible	✓	✓	✓	✓

Dataset Structure

Data Settings

• Title Writing

  • title_10K

  • title_30K

  • title_31K_G

• Abstract Writing

  • abs_9K

  • abs_28K

  • abs_29K_G

• Introduction Writing

  • intro_8K

  • intro_28K

  • intro_28K_G

• Related Work Writing

  • related_34K

  • related_53K

  • related_53K_G

Main Data Fields

• url: the url of the original paper on arXiv

• title: the title of the paper

• abstract: the abstract of the paper

• authors: the authors of the paper

• published: the publication timestamp of the paper

• primary_cat: arXiv category

• gt: the ground truth of the corresponding task

• main_content: the main body of the paper (w/o the corresponding section content)

• additional_info: the few-shot demonstrations from randomly selected papers (the data fields of each demonstration are the same as above)

• additional_graph_info: the few-shot demonstrations with the co-author subgraph structure from co-author papers (the data fields of each demonstration are the same as above)