Update README.md

README.md

@@ -190,7 +190,7 @@ configs:
     path: dolly_machine_translated/test-*
 ---
 
-![Aya Header](https://huggingface.co/datasets/CohereForAI/aya_dataset/resolve/main/aya_header.png)
+![Aya Header](https://huggingface.co/datasets/CohereLabs/aya_dataset/resolve/main/aya_header.png)
 
 # Dataset Summary
 
@@ -208,11 +208,11 @@ To strike a balance between language coverage and the quality that comes with hu
 - **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 513M instances for various tasks.|
-  | [aya_collection_language_split](https://huggingface.co/datasets/CohereForAI/aya_collection_language_split) | Aya Collection structured based on language level subsets. |
-  | [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.|
-  | [aya_redteaming](https://huggingface.co/datasets/CohereForAI/aya_redteaming)|  A red-teaming dataset consisting of harmful prompts in 8 languages across 9 different categories of harm with explicit labels for "global" and "local" harm.|
+  | [aya_dataset](https://huggingface.co/datasets/CohereLabs/aya_dataset) | Human-annotated multilingual instruction finetuning dataset, comprising over 204K instances across 65 languages. |
+  | [aya_collection](https://huggingface.co/datasets/CohereLabs/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 513M instances for various tasks.|
+  | [aya_collection_language_split](https://huggingface.co/datasets/CohereLabs/aya_collection_language_split) | Aya Collection structured based on language level subsets. |
+  | [aya_evaluation_suite](https://huggingface.co/datasets/CohereLabs/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.|
+  | [aya_redteaming](https://huggingface.co/datasets/CohereLabs/aya_redteaming)|  A red-teaming dataset consisting of harmful prompts in 8 languages across 9 different categories of harm with explicit labels for "global" and "local" harm.|
 
 
 # Dataset
@@ -231,7 +231,7 @@ To load this dataset consisting of prompt-completions with `datasets`, you just
 ```python
 from datasets import load_dataset
 
-aya_eval = load_dataset("CohereForAI/aya_evaluation_suite", "aya_human_annotated")
+aya_eval = load_dataset("CohereLabs/aya_evaluation_suite", "aya_human_annotated")
 ```
 
 ## Data Fields
@@ -475,7 +475,7 @@ The list of languages was initially established from mT5 and aligned with the an
 
 ## Authorship
 
-- **Publishing Organization:** [Cohere For AI](https://cohere.com/research)
+- **Publishing Organization:** [Cohere Labs](https://cohere.com/research)
 - **Industry Type:** Not-for-profit - Tech
 - **Contact Details:** https://aya.for.ai/