Update references to old name and add some tutorial links

README.md

@@ -66,12 +66,67 @@ offering broad applications across systems biology, drug discovery, and precisio
 ```python
 from datasets import load_dataset
 # Load dataset in streaming mode
-ds = load_dataset("vevotx/Tahoe-100m", streaming=True, split="train")
+ds = load_dataset("tahoebio/Tahoe-100m", streaming=True, split="train")
 # View the first record
 next(ds.iter(1))
 ```
+### Tutorials
+Please refer to our tutorials for examples on using the data, accessing metadata tables and converting to/from the anndata format.
+
 Please see the [Data Loading Tutorial](tutorials/loading_data.ipynb) for a walkthrough on using the data.
 
+<table>
+  <thead>
+    <tr>
+      <th>Notebook</th>
+      <th>URL</th>
+      <th>Colab</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td>Loading the dataset from huggingface, accessing metadata, mapping to anndata</td>
+      <td>
+        <a href="https://huggingface.co/datasets/tahoebio/Tahoe-100M/blob/main/tutorials/loading_data.ipynb" target="_blank">
+          Link
+        </a>
+      </td>
+      <td>
+        <a href="https://colab.research.google.com/github/huggingface/datasets/blob/main/datasets/tahoebio/Tahoe-100M/tutorials/loading_data.ipynb" target="_blank">
+          <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab"/>
+        </a>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
+### Community Resources
+
+Here are a links to few resources created by the community. We would love to feature additional tutorials from the community, if you have built something on top of 
+Tahoe-100M, please let us know and we would love to feature your work.
+
+<table>
+<table>
+  <thead>
+    <tr>
+      <th>Resource</th>
+      <th>Contributor</th>
+      <th>URL</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td>Analysing Tahoe-100M with rapids-single-cell, scanpy and dask</td>
+      <td>Theis Lab (@fabian_theis)</td>
+      <td>
+        <a href="https://theislab.github.io/vevo_Tahoe_100m_analysis/" target="_blank">
+          Link
+        </a>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
 ## Dataset Features
 We provide multiple tables with the dataset including the main data (raw counts) in the `expression_data` table as well as 
 various metadata in the `gene_metadata`,`sample_metadata`,`drug_metadata`,`cell_line_metadata`,`obs_metadata` tables.
@@ -79,7 +134,7 @@ various metadata in the `gene_metadata`,`sample_metadata`,`drug_metadata`,`cell_
 The main data can be downloaded as follows:
 ```python
 from datasets import load_dataset
-tahoe_100m_ds = load_dataset("vevotx/Tahoe-100M", streaming=True, split="train")
+tahoe_100m_ds = load_dataset("tahoebio/Tahoe-100M", streaming=True, split="train")
 ```
 Setting `stream=True` instantiates an `IterableDataset` and prevents needing to 
 download the full dataset first. See [tutorial](tutorials/loading_data.ipynb) for an end-to-end example.
@@ -104,7 +159,7 @@ The expression_data table has the following fields:
 
 ### Gene Metadata
 ```python
-gene_metadata = load_dataset("vevotx/Tahoe-100M","gene_metadata", split="train")
+gene_metadata = load_dataset("taheobio/Tahoe-100M","gene_metadata", split="train")
 ```
 
 | Column Name   | Description                                                                                                 |
@@ -118,7 +173,7 @@ gene_metadata = load_dataset("vevotx/Tahoe-100M","gene_metadata", split="train")
 ### Sample Metadata
 
 ```python
-sample_metadata = load_dataset("vevotx/Tahoe-100M","sample_metadata", split="train")
+sample_metadata = load_dataset("tahoebio/Tahoe-100M","sample_metadata", split="train")
 ```
 The sample_metadata has additional information for aggregate quality metrics for the sample as well as the concentration.
 
@@ -135,7 +190,7 @@ The sample_metadata has additional information for aggregate quality metrics for
 
 ### Drug Metadata
 ```python
-drug_metadata =  load_dataset("vevotx/Tahoe-100M","drug_metadata", split="train")
+drug_metadata =  load_dataset("tahoebio/Tahoe-100M","drug_metadata", split="train")
 ```
 The drug_metadata has additional information about each treatment.
 
@@ -155,7 +210,7 @@ The drug_metadata has additional information about each treatment.
 ### Cell Line Metadata
 
 ```python
-cell_line_metadata = load_dataset("vevotx/Tahoe-100M","cell_line_metadata", split="train")
+cell_line_metadata = load_dataset("tahoebio/Tahoe-100M","cell_line_metadata", split="train")
 ```
 The cell-line metadata table has additional information about the key driver mutations for each cell line.