Add remarks about dolly subsets

README.md

@@ -196,9 +196,9 @@ configs:
 
 `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`).
+1) human-curated examples in 7 languages (`tur,eng,yor,arb,zho,por,tel`) → `aya-human-annotated`.
+2) machine-translations of handpicked examples into 101 languages → `dolly-machine-translated`.
+3) human-post-edited translations into 6 languages (`hin,srp,rus,fra,arb,spa`) → `dolly-human-edited`.
 
 ---
 
@@ -239,11 +239,15 @@ aya_eval = load_dataset("CohereForAI/aya_evaluation_suite", "dataset")
 - `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.
+- `source_id`: Corresponding original row index from the [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset (Field applicable only for subsets `dolly-machine-translated` & `dolly-human-edited`)
 
 ## Data Instances
 
-An example of the `Aya Evaluation Suite` looks as follows:
+Example data instances from the `Aya Evaluation Suite` subsets are listed in the toggled sections below.
 
+<details>
+<summary> <b>aya-human-annotated</b> </summary>
+  
 ```json
 {
 "id": 42,
@@ -253,6 +257,43 @@ An example of the `Aya Evaluation Suite` looks as follows:
 "script": "Latn",
 }
 ```
+</details>
+
+
+<b>Dolly-machine-translated and dolly-human-edited</b>
+
+- These two subsets are parallel datasets (data instances can be mapped using the `id`).
+- Note that in the `dolly-machine-translated` subset, we also include the original English subset (`id 1-200`) that is translated into 101 languages. Furthermore, the field `id` can be used to filter out the translation of the same data instance across the languages. 
+- The `source_id` field contains the corresponding original row index from the [databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset.
+  <details>
+  <summary> <b>dolly-machine-translated</b> </summary>  
+  
+  ```json
+  {
+  "id": 2,
+  "inputs": "How to escape from a helicopter trapped in water ?",
+  "targets": "If you are ever trapped inside a helicopter while submerged in water, it’s best to try and remain calm until the cabin is completely underwater. It’s better to wait for pressure to be equalized, before you try to open the door or break the glass to escape.",
+  "language": "eng",
+  "script": "Latn",
+  "source_id": 6060,
+  }
+  ```
+  </details>
+  
+  <details>
+  <summary> <b>dolly-human-edited</b> </summary>
+    
+  ```json
+  {
+  "id": 2,
+  "inputs": "Comment peut-on s'échapper d'un hélicoptère piégé dans l'eau ?",
+  "targets": "-",
+  "language": "fra",
+  "script": "Latn",
+  "source_id": 6060,
+  }
+  ```
+  </details>
 
 ## Statistics