Update README.md

README.md

@@ -1,14 +1,15 @@
 ---
 license: bsd-3-clause
 configs:
+- config_name: no-vectors
+  data_files: no-vectors/*.parquet
+  default: true
 - config_name: openai-text-embedding-3-large
-  data_files:
-  - split: train
-    path: openai/text-embedding-3-large/*.parquet
+  data_files: openai/text-embedding-3-large/*.parquet
+  default: true
 - config_name: snowflake-arctic-embed
-  data_files:
-  - split: train
-    path: ollama/snowflake-arctic/*.parquet
+  data_files: ollama/snowflake-arctic/*.parquet
+  default: true
 size_categories:
 - 100K<n<1M
 ---
@@ -18,7 +19,7 @@ You can load the dataset like this:
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-large", split="train", streaming=True)
+dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-large", streaming=True)
 # dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", split="train", streaming=True)
 
 for item in dataset:
@@ -32,13 +33,20 @@ for item in dataset:
 
 ## Supported Datasets
 
+### Data only - no vectors
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("weaviate/wiki-sample", "no-vectors", streaming=True)
+```
+
 ### OpenAI
 
 **text-embedding-3-large** - 3072d vectors - generated with OpenAI
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-large", split="train", streaming=True)
+dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-large", streaming=True)
 ```
 
 ### Snowflake
@@ -47,5 +55,5 @@ dataset = load_dataset("weaviate/wiki-sample", "openai-text-embedding-3-large",
 
 ```python
 from datasets import load_dataset
-dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", split="train", streaming=True)
+dataset = load_dataset("weaviate/wiki-sample", "snowflake-arctic-embed", streaming=True)
 ```