metadata

license: apache-2.0
dataset_info:
  - config_name: aya_human_annotated
    features:
      - name: id
        dtype: int64
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: language
        dtype: string
      - name: script
        dtype: string
    splits:
      - name: test
        num_bytes: 1624958
        num_examples: 1750
    download_size: 974483
    dataset_size: 1624958
  - config_name: dolly_human_edited
    features:
      - name: id
        dtype: int64
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: language
        dtype: string
      - name: script
        dtype: string
    splits:
      - name: test
        num_bytes: 1209511
        num_examples: 1200
    download_size: 599142
    dataset_size: 1209511
  - config_name: dolly_machine_translated
    features:
      - name: id
        dtype: int64
      - name: inputs
        dtype: string
      - name: targets
        dtype: string
      - name: language
        dtype: string
      - name: script
        dtype: string
    splits:
      - name: test
        num_bytes: 39488955
        num_examples: 23800
    download_size: 20063815
    dataset_size: 39488955
configs:
  - config_name: aya_human_annotated
    data_files:
      - split: test
        path: aya_human_annotated/test-*
  - config_name: dolly_human_edited
    data_files:
      - split: test
        path: dolly_human_edited/test-*
  - config_name: dolly_machine_translated
    data_files:
      - split: test
        path: dolly_machine_translated/test-*
language:
  - afr
  - sqi
  - amh
  - ara
  - aze
  - bel
  - ben
  - bul
  - cat
  - ceb
  - ces
  - kur
  - cym
  - dan
  - deu
  - ell
  - eng
  - epo
  - est
  - eus
  - fin
  - fra
  - gla
  - gle
  - glg
  - guj
  - hat
  - hau
  - heb
  - hin
  - hun
  - hye
  - ibo
  - ind
  - isl
  - ita
  - jav
  - jpn
  - kan
  - kat
  - kaz
  - mon
  - khm
  - kir
  - kor
  - lao
  - lit
  - ltz
  - lav
  - mal
  - mar
  - mkd
  - mlt
  - mri
  - mya
  - nld
  - nor
  - nep
  - sot
  - pus
  - pes
  - mlg
  - pol
  - por
  - ron
  - rus
  - sin
  - slk
  - slv
  - smo
  - sna
  - snd
  - som
  - spa
  - srp
  - sun
  - swe
  - swa
  - tam
  - tel
  - tgk
  - tha
  - tur
  - ukr
  - urd
  - uzb
  - vie
  - xho
  - yid
  - yor
  - zho
  - msa
  - zul
  - ace
  - bjn
  - kas
  - kau
  - min
  - mni
  - taq
  - nso
language_creators:
  - crowdsourced
  - expert-generated
  - machine-generated
multilinguality:
  - multilingual
pretty_name: Aya Evaluation Suite
size_categories:
  - 10K<n<100K
source_datasets:
  - original
  - extended
task_categories:
  - text-generation

Dataset Summary

Aya Evaluation Suite contains a total of 25,750 open-ended conversation-style prompts to evaluate multilingual open-ended generation quality.
To strike a balance between language coverage and the quality that comes with human curation, we create an evaluation suite that includes:

human-curated examples in 7 languages (tur,eng,yor,arb,zho,por,tel).
machine-translations of handpicked examples into 101 languages.
human-post-edited translations into 6 languages (hin,srp,rus,fra,arb,spa).

Curated by: Contributors of Aya Open Science Intiative, professional annotators, and synthetic generation
Language(s): 101 languages
License: Apache 2.0

Aya Datasets Family:

Name	Explanation
aya_dataset	Human-annotated multilingual instruction finetuning dataset, comprising over 204K instances across 65 languages.
aya_collection	Created by applying instruction-style templates from fluent speakers to 44 datasets, including translations of 19 instruction-style datasets into 101 languages, providing 513k instances for various tasks.
aya_evaluation_suite	A diverse evaluation set for multilingual open-ended generation, featuring 250 culturally grounded prompts in 7 languages, 200 translated prompts in 24 languages, and human-edited versions selected for cross-cultural relevance from English Dolly in 6 languages.

Dataset

The Aya Evaluation Suite includes the following subsets:

aya-human-annotated: 250 original human-written prompts in 7 languages each.
dolly-machine-translated: 200 human-selected prompts from databricks-dolly-15k , automatically translated with the NLLB model from English into 101 languages (114 dialects in total).
dolly-human-edited: 200 dolly-machine-translated prompts post-edited by fluent speakers for 6 languages.

Load with Datasets

To load this dataset consisting of both prompt-completions and demographics data with datasets, you'll just need to install Datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset

aya_eval = load_dataset("CohereForAI/aya_evaluation_suite", "dataset")

Data Fields

id: Unique id of the data point.
inputs: Prompt or input to the language model.
targets: Completion or output of the language model. (Not applicable for dolly-human-edited)
language: The language of the prompt and completion.
script: The writing system of the language.

Data Instances

An example of the Aya Evaluation Suite looks as follows:

{
"id": 42,
"prompt": "What day is known as Star Wars Day?",
"completion": "May 4th (May the 4th be with you!)",
"language": "eng",
"script": "Latn",
}

Statistics

Languages

aya-human-annotated

ISO Code	Language	Resourcedness
`tel`	Telugu	Low
`yor`	Yorùbá	Low
`arb`	Arabic	High
`tur`	Turkish	High
`por`	Portuguese	High
`zho`	Chinese (Simplified)	High
`eng`	English	High

dolly-machine-translated

dolly-human-edited

ISO Code	Language	Resourcedness
`arb`	Arabic	High
`fra`	French	High
`hin`	Hindi	High
`rus`	Russian	High
`spa`	Spanish	High
`srp`	Serbian	High