README.md

---
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
---

![Aya Header](https://huggingface.co/datasets/CohereForAI/aya_dataset/resolve/main/aya_header.png)

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

---

- **Curated by:** Contributors of [Aya Open Science Intiative](https://aya.for.ai/), professional annotators, and synthetic generation
- **Language(s):** 101 languages
- **License:** [Apache 2.0](https://opensource.org/license/apache-2-0)
- **Aya Datasets Family:**
  | Name | Explanation |
  |------|--------------|
  | [aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset) | Human-annotated multilingual instruction finetuning dataset, comprising over 204K instances across 65 languages. |
  | [aya_collection](https://huggingface.co/datasets/CohereForAI/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](https://huggingface.co/datasets/CohereForAI/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:

1. **aya-human-annotated**: 250 original human-written prompts in 7 languages each.
2. **dolly-machine-translated**: 200 human-selected prompts from [databricks-dolly-15k](https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm)
, automatically translated with the [NLLB model](https://ai.meta.com/research/no-language-left-behind/) from English into 101 languages (114 dialects in total).
3. **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:

```python
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:

```json
{
"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

<details>
<summary> <b>aya-human-annotated</b> </summary>

  | 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 |
  
</details>


<details>
<summary> <b>dolly-machine-translated</b> </summary>
</details>

<details>
<summary> <b>dolly-human-edited</b> </summary>
  
  | ISO Code | Language | Resourcedness |
  |----------|----------|-----------|
  | `arb` | Arabic | High |
  | `fra` | French | High |
  | `hin` | Hindi | High |
  | `rus` | Russian | High |
  | `spa` | Spanish | High |
  | `srp` | Serbian | High |

</details>