add links

README.md

@@ -1,8 +1,30 @@
+---
+annotations_creators:
+- other
+- clicks
+language_creators:
+- other
+languages:
+- en-US
+licenses:
+- apache-2.0
+multilinguality:
+- monolingual
+pretty_name: tripclick-training
+size_categories:
+- unknown
+source_datasets: [tripclick]
+task_categories:
+- text-retrieval
+task_ids:
+- document-retrieval
+---
+
 # TripClick Baselines with Improved Training Data
 
 *Establishing Strong Baselines for TripClick Health Retrieval* Sebastian Hofstätter, Sophia Althammer, Mete Sertkan and Allan Hanbury
 
-https://arxiv.org/abs/
+https://arxiv.org/abs/2201.00365
 
 **tl;dr** We create strong re-ranking and dense retrieval baselines (BERT<sub>CAT</sub>, BERT<sub>DOT</sub>, ColBERT, and TK) for TripClick (health ad-hoc retrieval). We improve the – originally too noisy – training data with a simple negative sampling policy. We achieve large gains over BM25 in the re-ranking and retrieval setting on TripClick, which were not achieved with the original baselines. We publish the improved training files for everyone to use.
 
@@ -10,11 +32,22 @@ If you have any questions, suggestions, or want to collaborate please don't hesi
 
 **Please cite our work as:**
 ````
-
+@misc{hofstaetter2022tripclick,
+      title={Establishing Strong Baselines for TripClick Health Retrieval}, 
+      author={Sebastian Hofst{\"a}tter and Sophia Althammer and Mete Sertkan and Allan Hanbury},
+      year={2022},
+      eprint={2201.00365},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR}
+}
 ````
 
 ## Published Training Files
 
-We publish the improved training files without the text content instead using the ids from TripClick (with permission from the TripClick owners); for the text content please get the full TripClick dataset from [the TripClick Github page](https://github.com/https://github.com/tripdatabase/tripclick). 
+We publish the improved training files without the text content instead using the ids from TripClick (with permission from the TripClick owners); for the text content please get the full TripClick dataset from [the TripClick Github page](https://github.com/tripdatabase/tripclick). 
+
+Our training file **improved_tripclick_train_triple-ids.tsv** has the format ``query_id pos_passage_id neg_passage_id`` (with tab separation).
+
+----
 
-Our training file **improved_tripclick_train_triple-ids.tsv** has the format ``query_id pos_passage_id neg_passage_id`` (with tab separation).
+For more information on how to use the training files see: https://github.com/sebastian-hofstaetter/tripclick