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Eventual-Inc · Dec 19, 2024 · be595a0 · be595a0
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diff --git a/docs-v2/integrations/huggingface.md b/docs-v2/integrations/huggingface.md
@@ -1,8 +1,8 @@
 # Hugging Face Datasets
 
-Daft is able to read datasets directly from Huggingface via the `hf://datasets/` protocol.
+Daft is able to read datasets directly from Hugging Face via the `hf://datasets/` protocol.
 
-Since Huggingface will [automatically convert](https://huggingface.co/docs/dataset-viewer/en/parquet) all public datasets to parquet format, we can read these datasets using the [`read_parquet`](https://www.getdaft.io/projects/docs/en/stable/api_docs/doc_gen/io_functions/daft.read_parquet.html) method.
+Since Hugging Face will [automatically convert](https://huggingface.co/docs/dataset-viewer/en/parquet) all public datasets to parquet format, we can read these datasets using the [`read_parquet`](https://www.getdaft.io/projects/docs/en/stable/api_docs/doc_gen/io_functions/daft.read_parquet.html) method.
 
 !!! warning "Warning"
 
@@ -52,7 +52,7 @@ For authenticated datasets:
     ```
 
 It's important to note that this will not work with standard tier private datasets.
-Huggingface does not auto convert private datasets to parquet format, so you will need to specify the path to the files you want to read.
+Hugging Face does not auto convert private datasets to parquet format, so you will need to specify the path to the files you want to read.
 
 === "🐍 Python"
 

diff --git a/docs-v2/integrations/sql.md b/docs-v2/integrations/sql.md
@@ -12,7 +12,7 @@ Daft currently supports:
 
 ## Installing Daft with SQL Support
 
-Install Daft with the `getdaft[sql]` extra, or manually install the required packages: `ConnectorX <https://sfu-db.github.io/connector-x/databases.html>`__, `SQLAlchemy <https://docs.sqlalchemy.org/en/20/orm/quickstart.html>`__, and `SQLGlot <https://sqlglot.com/sqlglot.html>`__.
+Install Daft with the `getdaft[sql]` extra, or manually install the required packages: [ConnectorX](https://sfu-db.github.io/connector-x/databases.html), [SQLAlchemy](https://docs.sqlalchemy.org/en/20/orm/quickstart.html) and [SQLGlot](https://sqlglot.com/sqlglot.html).
 
 ```bash
 pip install -U "getdaft[sql]"

diff --git a/docs-v2/resources/architecture.md b/docs-v2/resources/architecture.md
@@ -1,5 +1,8 @@
 # Architecture 
 
+!!! failure "todo(docs): Add information about where Daft fits into the ecosystem or architecture of a system"
+
+
 ## High Level Overview
 
 ![Architecture diagram for the Daft library spanning the User API, Planning, Scheduling and Execution layers](../img/architecture.png)

diff --git a/mkdocs.yml b/mkdocs.yml
@@ -38,7 +38,7 @@ nav:
         - Microsoft Azure: integrations/azure.md
         - Amazon Web Services: integrations/aws.md
         - SQL: integrations/sql.md
-        - Huggingface Datasets: integrations/huggingface.md
+        - Hugging Face Datasets: integrations/huggingface.md
     - Resources: 
         - Architecture: resources/architecture.md
         - DataFrame Comparison: resources/dataframe_comparison.md