mlrbench-tasks / README.md
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metadata
language:
  - en
license: mit
task_categories:
  - other
configs:
  - config_name: default
    data_files:
      - split: all_tasks
        path: data/all_tasks-*
dataset_info:
  features:
    - name: task_id
      dtype: int64
    - name: task_name
      dtype: string
    - name: task_description
      dtype: string
  splits:
    - name: all_tasks
      num_bytes: 549377
      num_examples: 201
  download_size: 292800
  dataset_size: 549377

This repository contains the benchmark dataset of MLR-Bench. We collect 201 tasks from ICLR/NeurIPS/ICML workshops over the past three years. The followings record the metadata of our collection.

Workshop without an official website or deleted

  • icml2024_fminwild
  • neurips2024_attrib_late
  • neurips2024_gsai
  • neurips2024_rlfm
  • iclr2023_ai4abm
  • iclr2023_ml4iot
  • iclr2023_mldd
  • iclr2023_NeSy_GeMs
  • neurips2023_new_in_ml
  • neurips2023_ai4mat
  • icml2023_esfomo

Non-general workshops

  • neurips2024_queerinai
  • iclr2024_africanlp
  • iclr2023_africanlp
  • iclr2023_IndabaX_Rwanda
  • icml2023_lxai

Repeated workshops

  • iclr2023_dl4c
  • iclr2023_mefomo
  • iclr2023_re_align and iclr2024_realign (TODO: check the details and delete one)
  • icml2024_fminwild potentially repeat with other workshops

Missing workshop for unknown reason

Workshop information to be updated

Workshop Links