Rename previous canonical datasets (#1243)

* glue -> nyu-mll/glue

* rename squad

docs/hub/api.md

@@ -292,7 +292,7 @@ This is equivalent to `huggingface_hub.get_collection()`.
 
 List collections from the Hub, based on some criteria. The supported parameters are:
 - `owner` (string): filter collections created by a specific user or organization.
-- `item` (string): filter collections containing a specific item. Value must be the item_type and item_id concatenated. Example: `"models/teknium/OpenHermes-2.5-Mistral-7B"`, `"datasets/squad"` or `"papers/2311.12983"`.
+- `item` (string): filter collections containing a specific item. Value must be the item_type and item_id concatenated. Example: `"models/teknium/OpenHermes-2.5-Mistral-7B"`, `"datasets/rajpurkar/squad"` or `"papers/2311.12983"`.
 - `sort` (string): sort the returned collections. Supported values are `"lastModified"`, `"trending"` (default) and `"upvotes"`.
 - `limit` (int): maximum number (100) of collections per page.
 - `q` (string): filter based on substrings for titles & descriptions.

docs/hub/datasets-overview.md

@@ -2,7 +2,7 @@
 
 ## Datasets on the Hub
 
-The Hugging Face Hub hosts a [large number of community-curated datasets](https://huggingface.co/datasets) for a diverse range of tasks such as translation, automatic speech recognition, and image classification. Alongside the information contained in the [dataset card](./datasets-cards), many datasets, such as [GLUE](https://huggingface.co/datasets/glue), include a [Dataset Viewer](./datasets-viewer) to showcase the data.
+The Hugging Face Hub hosts a [large number of community-curated datasets](https://huggingface.co/datasets) for a diverse range of tasks such as translation, automatic speech recognition, and image classification. Alongside the information contained in the [dataset card](./datasets-cards), many datasets, such as [GLUE](https://huggingface.co/datasets/nyu-mll/glue), include a [Dataset Viewer](./datasets-viewer) to showcase the data.
 
 Each dataset is a [Git repository](./repositories) that contains the data required to generate splits for training, evaluation, and testing. For information on how a dataset repository is structured, refer to the [Data files Configuration page](./datasets-data-files-configuration). Following the supported repo structure will ensure that the dataset page on the Hub will have a Viewer.
 

docs/hub/datasets-viewer.md

@@ -22,7 +22,7 @@ You can search for a word in the dataset by typing it in the search bar at the t
 
 ## Share a specific row
 
-You can share a specific row by clicking on it, and then copying the URL in the address bar of your browser. For example https://huggingface.co/datasets/glue/viewer/mrpc/test?p=2&row=241 will open the dataset viewer on the MRPC dataset, on the test split, and on the 241st row.
+You can share a specific row by clicking on it, and then copying the URL in the address bar of your browser. For example https://huggingface.co/datasets/nyu-mll/glue/viewer/mrpc/test?p=2&row=241 will open the dataset viewer on the MRPC dataset, on the test split, and on the 241st row.
 
 ## Large scale datasets
 
@@ -35,7 +35,7 @@ In this case, an informational message lets you know that the Viewer is partial.
 
 ## Access the parquet files
 
-To power the dataset viewer, the first 5GB of every dataset are auto-converted to the Parquet format (unless it was already a Parquet dataset). In the dataset viewer (for example, see [`datasets/glue`](https://huggingface.co/datasets/glue)), you can click on [_"Auto-converted to Parquet"_](https://huggingface.co/datasets/glue/tree/refs%2Fconvert%2Fparquet/cola) to access the Parquet files. Please, refer to the [Datasets Server docs](/docs/datasets-server/parquet_process) to learn how to query the dataset parquet files with libraries such as Polars, Pandas or DuckDB.
+To power the dataset viewer, the first 5GB of every dataset are auto-converted to the Parquet format (unless it was already a Parquet dataset). In the dataset viewer (for example, see [GLUE](https://huggingface.co/datasets/nyu-mll/glue)), you can click on [_"Auto-converted to Parquet"_](https://huggingface.co/datasets/nyu-mll/glue/tree/refs%2Fconvert%2Fparquet/cola) to access the Parquet files. Please, refer to the [Datasets Server docs](/docs/datasets-server/parquet_process) to learn how to query the dataset parquet files with libraries such as Polars, Pandas or DuckDB.
 
 <Tip>
 
@@ -54,7 +54,7 @@ When you create a new dataset, the [`parquet-converter` bot](https://huggingface
 
 ### Programmatic access
 
-You can also access the list of Parquet files programmatically using the [Hub API](./api#get-apidatasetsrepoidparquet); for example, endpoint [`https://huggingface.co/api/datasets/glue/parquet`](https://huggingface.co/api/datasets/glue/parquet) lists the parquet files of the glue dataset.
+You can also access the list of Parquet files programmatically using the [Hub API](./api#get-apidatasetsrepoidparquet); for example, endpoint [`https://huggingface.co/api/datasets/nyu-mll/glue/parquet`](https://huggingface.co/api/datasets/nyu-mll/glue/parquet) lists the parquet files of the `nyu-mll/glue` dataset.
 
 ## Dataset preview