Add model id information

README.md

@@ -22,7 +22,37 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: apache-2.0
+task_categories:
+- feature-extraction
+language:
+- en
+pretty_name: 'DBPedia SPLADE + OpenAI: 100,000 Vectors'
+size_categories:
+- 100K<n<1M
 ---
-# Dataset Card for "dbpedia-entities-efficient-splade-100K"
+# DBPedia SPLADE + OpenAI: 10,000 SPLADE Sparse Vectors + OpenAI Embedding
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+This dataset has both OpenAI and SPLADE vectors for 100,000 DBPedia entries. This adds SPLADE Vectors to [KShivendu/dbpedia-entities-openai-1M/](https://huggingface.co/datasets/KShivendu/dbpedia-entities-openai-1M)
+
+Model id used to make these vectors: 
+```python
+model_id = "naver/efficient-splade-VI-BT-large-doc"
+```
+
+For processing the query, use this: 
+```python
+model_id = "naver/efficient-splade-VI-BT-large-query"
+```
+
+If you'd like to extract the indices and weights/values from the vectors, you can do so using the following snippet:
+
+```python
+import numpy as np
+vec = np.array(ds[0]['vec']) # where ds is the dataset
+
+def get_indices_values(vec):
+  sparse_indices = vec.nonzero()
+  sparse_values = vec[sparse_indices]
+  return sparse_indices, sparse_values
+```