update dataset card

README.md

@@ -54,3 +54,43 @@ configs:
   - split: test
     path: data/test-*
 ---
+# INQUIRE-Benchmark-small
+
+
+<!-- **INQUIRE: A Natural World Text-to-Image Retrieval Benchmark** -->
+
+INQUIRE is a text-to-image retrieval benchmark designed to challenge multimodal models with expert-level queries about the natural world. This dataset aims to emulate real world image retrieval and analysis problems faced by scientists working with large-scale image collections.
+Therefore, we will use this benchmark to improve our Text-to-Image Retrieval Systems.
+
+**Dataset Details**
+
+This dataset was build off of [**INQUIRE-Rerank**](https://huggingface.co/datasets/evendrow/INQUIRE-Rerank) with additional modifications. Please refer to [modify_inquire_rerank.ipynb](https://huggingface.co/datasets/sagecontinuum/INQUIRE-Benchmark-small/blob/main/modify_inquire_rerank.ipynb) to see
+the modifications we did.
+
+**Loading the Dataset**
+
+To load the dataset using HugginFace `datasets`, you first need to `pip install datasets`, then run the following code:
+
+```
+from datasets import load_dataset
+
+inquire = load_dataset("sagecontinuum/INQUIRE-Benchmark-small", split="validation") # or "test"
+```
+
+**Additional Details**
+
+For additional details, check out their paper and more.
+
+[🌐 Website](https://inquire-benchmark.github.io/) 
+[📖 Paper](https://arxiv.org/abs/2411.02537) 
+[GitHub](https://github.com/inquire-benchmark/INQUIRE) 
+
+**Citations**
+```
+@article{vendrow2024inquire,
+  title={INQUIRE: A Natural World Text-to-Image Retrieval Benchmark}, 
+  author={Vendrow, Edward and Pantazis, Omiros and Shepard, Alexander and Brostow, Gabriel and Jones, Kate E and Mac Aodha, Oisin and Beery, Sara and Van Horn, Grant},
+  journal={NeurIPS},
+  year={2024},
+}
+```