Add Antonym Substitution data to Negation Dataset

negation-dataset/README.md

@@ -1,27 +1,44 @@
 ### Negation Dataset
 
-This dataset currently contains **60592 samples**, of which half of them are
-negated pairs of sentences, and the other half are not (they are paraphrased
-versions of each other).
+The version 1.1 of the dataset contains **77376 samples**, of which roughly of
+them are negated pairs of sentences, and the other half are not (they are
+paraphrased versions of each other).
+
+<br>
 
 The dataset has been created by cleaning up and merging the following datasets:
 
-* _Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal
+1. _Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal
 Negation_ (see
-[`nan-nli`](https://github.com/dmlls/negation-datasets/tree/main/nan-nli))
+[`nan-nli`](https://github.com/dmlls/negation-datasets/tree/main/nan-nli)).
+
+2. _GLUE Diagnostic Dataset_ (see
+[`glue-diagnostic`](https://github.com/dmlls/negation-datasets/tree/main/glue-diagnostic)).
+
+3. _Automated Fact-Checking of Claims from Wikipedia_ (see
+[`glue-diagnostic`](https://github.com/dmlls/negation-datasets/tree/main/wikifactcheck-english)).
 
-* _GLUE Diagnostic Dataset_ (see
-[`glue-diagnostic`](https://github.com/dmlls/negation-datasets/tree/main/glue-diagnostic))
+4. _From Group to Individual Labels Using Deep Features_ (see
+[`sentiment-labelled-sentences`](https://github.com/dmlls/negation-datasets/tree/main/sentiment-labelled-sentences)).
+In this case, the negated sentences were obtained by using the Python module
+[`negate`](https://github.com/dmlls/negate).
 
-* _Automated Fact-Checking of Claims from Wikipedia_ (see
-[`glue-diagnostic`](https://github.com/dmlls/negation-datasets/tree/main/wikifactcheck-english))
 
 Additionally, for each of the negated samples, another pair of non-negated
-sentences has been added by paraphrasing them with the pre-trained model 
+sentences has been added by paraphrasing them with the pre-trained model
 [`🤗tuner007/pegasus_paraphrase`](https://huggingface.co/tuner007/pegasus_paraphrase).
 
+Finally, the dataset from _It Is Not Easy To Detect Paraphrases: Analysing
+Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg
+Benchmark_ (see
+[`antonym-substitution`](https://github.com/dmlls/negation-datasets/tree/main/antonym-substitution))
+has also been included. This dataset already provides both the paraphrased and
+negated version for each premise, so no further processing was needed.
+
+<br>
+
 The resulting file is a
-[`.tsv`](https://github.com/dmlls/negation-datasets/blob/main/negation-dataset/negation_dataset.tsv)
+[`.tsv`](https://github.com/dmlls/negation-datasets/blob/main/negation-dataset/negation_dataset_v1.1.tsv)
 with the following format:
 
 | premise     | hypothesis                              | label |