Update README.md

README.md

@@ -59,11 +59,16 @@ The TAC Relation Extraction Dataset (TACRED) is a large-scale relation extractio
 and org:members) or are labeled as no_relation if no defined relation is held. These examples are created by combining available human annotations from the TAC
 KBP challenges and crowdsourcing. Please see [Stanford's EMNLP paper](https://nlp.stanford.edu/pubs/zhang2017tacred.pdf), or their [EMNLP slides](https://nlp.stanford.edu/projects/tacred/files/position-emnlp2017.pdf) for full details.
 
-Note: There is currently a [label-corrected version](https://github.com/DFKI-NLP/tacrev) of the TACRED dataset, which you should consider using instead of
+Note: 
+- There is currently a [label-corrected version](https://github.com/DFKI-NLP/tacrev) of the TACRED dataset, which you should consider using instead of
 the original version released in 2017. For more details on this new version, see the [TACRED Revisited paper](https://aclanthology.org/2020.acl-main.142/)
 published at ACL 2020.
+- There is also a [relabeled and pruned version](https://github.com/gstoica27/Re-TACRED) of the TACRED dataset. 
+For more details on this new version, see the [Re-TACRED paper](https://arxiv.org/abs/2104.08398)
+published at ACL 2020.
 
-This repository provides both versions of the dataset as BuilderConfigs - 'original' and 'revisited'.
+This repository provides all three versions of the dataset as BuilderConfigs - `'original'`, `'revisited'` and `'re-tacred'`.
+Simply set the `name` parameter in the `load_dataset` method in order to choose a specific version. The original TACRED is loaded per default.
 
 ### Supported Tasks and Leaderboards
 - **Tasks:** Relation Classification
@@ -117,6 +122,7 @@ To miminize dataset bias, TACRED is stratified across years in which the TAC KBP
 |           | Train  |  Dev  | Test |
 | -----     | ------ | ----- | ---- |
 | TACRED     | 68,124 (TAC KBP 2009-2012) | 22,631 (TAC KBP 2013) | 15,509 (TAC KBP 2014) |
+| Re-TACRED     | 58,465 (TAC KBP 2009-2012) | 19,584 (TAC KBP 2013) | 13,418 (TAC KBP 2014) |
 ## Dataset Creation
 ### Curation Rationale
 [More Information Needed]
@@ -164,7 +170,7 @@ The original dataset:
 }
 ```
 
-For the revised version, please also cite:
+For the revised version (`"revisited"`), please also cite:
 ```
 @inproceedings{alt-etal-2020-tacred,
     title = "{TACRED} Revisited: A Thorough Evaluation of the {TACRED} Relation Extraction Task",
@@ -181,5 +187,25 @@ For the revised version, please also cite:
     pages = "1558--1569",
 }
 ```
+
+For the relabeled version (`"re-tacred"`), please also cite:
+```
+@article{stoica2021re,
+  author    = {George Stoica and
+               Emmanouil Antonios Platanios and
+               Barnab{\'{a}}s P{\'{o}}czos},
+  title     = {Re-TACRED: Addressing Shortcomings of the {TACRED} Dataset},
+  journal   = {CoRR},
+  volume    = {abs/2104.08398},
+  year      = {2021},
+  url       = {https://arxiv.org/abs/2104.08398},
+  eprinttype = {arXiv},
+  eprint    = {2104.08398},
+  timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
+  biburl    = {https://dblp.org/rec/journals/corr/abs-2104-08398.bib},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+```
+
 ### Contributions
-Thanks to [@dfki-nlp](https://github.com/dfki-nlp) for adding this dataset.
+Thanks to [@dfki-nlp](https://github.com/dfki-nlp) and [@phucdev](https://github.com/phucdev) for adding this dataset.