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README.md

@@ -1,26 +1,51 @@
 ---
-dataset_info:
-  features:
-  - name: query
-    dtype: string
-  - name: positive
-    sequence: string
-  - name: negative
-    sequence: string
-  splits:
-  - name: train
-    num_bytes: 14876190
-    num_examples: 6367
-  - name: validation
-    num_bytes: 3728965
-    num_examples: 1592
-  download_size: 11867820
-  dataset_size: 18605155
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
+license: cc-by-4.0
+task_categories:
+- text-classification
+- information-retrieval
+tags:
+- reranking
+- scientific-papers
+- MTEB
+language:
+- en
+size_categories:
+- 1K<n<10K
 ---
+
+# SciDocs Reranking with Train Split
+
+This dataset adds a training split to the original [mteb/scidocs-reranking](https://huggingface.co/datasets/mteb/scidocs-reranking) dataset.
+
+## Dataset Info
+
+- **Train**: 6,367 examples
+- **Validation**: 1,592 examples  
+- **Total**: 7,959 examples
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("Bibek/scidocs-reranking-train")
+train_data = dataset['train']
+val_data = dataset['validation']
+```
+
+## Original Dataset
+
+Based on the SciDocs benchmark from the SPECTER paper:
+- Paper: https://arxiv.org/abs/2004.07180
+- Original: https://huggingface.co/datasets/mteb/scidocs-reranking
+
+## Citation
+
+```bibtex
+@inproceedings{cohan2020specter,
+    title={SPECTER: Document-level Representation Learning using Citation-informed Transformers},
+    author={Arman Cohan and Sergey Feldman and Iz Beltagy and Doug Downey and Daniel Weld},
+    booktitle={ACL},
+    year={2020}
+}
+```