multils-japanese / README.md
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Fix datatypes, match config_name
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metadata
language: ja
pretty_name: >-
  MultiLS-Japanese: a Japanese Lexical Simplification and Lexical Complexity
  Prediction Dataset
tags:
  - LS
  - lexical simplification
  - LCP
  - lexical complexity prediction
  - CWI
  - complex word identification
  - evaluation
  - test
multilinguality:
  - monolingual
language_creators:
  - found
annotations_creators:
  - expert-generated
source_datasets:
  - original
license: cc-by-sa-4.0
size_categories:
  - n<1K
task_categories:
  - token-classification
  - other
task_ids:
  - text-simplification
configs:
  - config_name: 1.0.0
    data_files:
      - split: trial
        path: multils_japanese_trial.tsv
      - split: test
        path: multils_japanese_test.tsv
dataset_info:
  - config_name: 1.0.0
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: target
        dtype: string
      - name: position
        dtype: string
      - name: primary_pos
        dtype: string
      - name: primary_wf
        dtype: int32
      - name: primary_cf
        dtype: int32
      - name: source_category
        dtype: string
      - name: source_id
        dtype: string
      - name: source_name
        dtype: string
      - name: source_doc_url
        dtype: string
      - name: source_doc_title
        dtype: string
      - name: lcp_annotator_1
        dtype: int32
      - name: lcp_annotator_2
        dtype: int32
      - name: lcp_annotator_3
        dtype: int32
      - name: lcp_annotator_4
        dtype: int32
      - name: lcp_annotator_5
        dtype: int32
      - name: lcp_annotator_6
        dtype: int32
      - name: lcp_annotator_7
        dtype: int32
      - name: lcp_annotator_8
        dtype: int32
      - name: lcp_annotator_9
        dtype: int32
      - name: lcp_annotator_10
        dtype: int32
      - name: ls_annotator_1
        dtype: string
      - name: ls_annotator_2
        dtype: string
      - name: ls_annotator_3
        dtype: string
      - name: ls_annotator_4
        dtype: string
      - name: ls_annotator_5
        dtype: string
      - name: ls_annotator_6
        dtype: string
      - name: ls_annotator_7
        dtype: string
      - name: ls_annotator_8
        dtype: string
      - name: ls_annotator_9
        dtype: string
      - name: ls_annotator_10
        dtype: string
      - name: complexity
        dtype: float64
      - name: substitution_1
        dtype: string
      - name: substitution_2
        dtype: string
      - name: substitution_3
        dtype: string
      - name: substitution_4
        dtype: string
      - name: substitution_5
        dtype: string
      - name: substitution_6
        dtype: string
      - name: substitution_7
        dtype: string
      - name: substitution_8
        dtype: string
      - name: substitution_9
        dtype: string
      - name: substitution_10
        dtype: string
      - name: substitution_11
        dtype: string
      - name: substitution_12
        dtype: string
      - name: substitution_13
        dtype: string
      - name: substitution_14
        dtype: string
      - name: substitution_15
        dtype: string
      - name: substitution_16
        dtype: string
      - name: substitution_17
        dtype: string
      - name: substitution_18
        dtype: string
      - name: substitution_19
        dtype: string
      - name: substitution_20
        dtype: string
      - name: substitution_21
        dtype: string
      - name: substitution_22
        dtype: string
      - name: substitution_23
        dtype: string
      - name: substitution_24
        dtype: string
      - name: substitution_25
        dtype: string
      - name: substitution_26
        dtype: string
      - name: substitution_27
        dtype: string
      - name: substitution_28
        dtype: string
      - name: token_position
        dtype: string
      - name: context_tokenized
        dtype: string
      - name: context_base
        dtype: string
      - name: context_lemma
        dtype: string
      - name: context_type
        dtype: string
      - name: context_pos
        dtype: string
      - name: target_tokenized
        dtype: string
      - name: target_base
        dtype: string
      - name: target_lemma
        dtype: string
      - name: target_type
        dtype: string
      - name: target_pos
        dtype: string
      - name: main
        dtype: string
      - name: aux
        dtype: string
      - name: dep
        dtype: string
      - name: main_pos
        dtype: string
      - name: main_morphology
        dtype: string
      - name: main_special
        dtype: string
      - name: main_mwe_type
        dtype: string
      - name: aux_morphology
        dtype: string
      - name: dep_pos
        dtype: string
      - name: whole
        dtype: string
      - name: whole_pos
        dtype: string
      - name: whole_part
        dtype: string
      - name: note
        dtype: string
extra_gated_prompt: >-
  To avoid leaking the dataset to LLM training data, it is not distributed on
  the open web.
extra_gated_fields:
  I agree not to make the MLSP2024 dataset, or any part of it, available on the open web: checkbox

MultiLS-Japanese

MultiLS-Japanese is a lexical complexity prediction (LCP) and lexical simplification (LS) dataset for Japanese. The MultiLS-Japanese dataset was created by Adam Nohejl, Akio Haykawa, and Yusuke Ide. We are working on a paper dedicated to the dataset.

More information and additional files on the MultiLS-Japanese Github repo.

Multilingual LS and LCP Data

  • Related datasets for 9 more languages: MLSP2024 dataset on Hugging Face Hub.