Add `dataset_summary` and `dataset` sections

README.md

@@ -182,4 +182,39 @@ size_categories:
 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.
+3. **dolly-human-edited**: 200 dolly-machine-translated prompts post-edited by fluent speakers for 6 languages.
+