Update README.md

README.md

@@ -30,12 +30,12 @@ The dataset consists of three splits. We suggest to use the splits as follows (m
 
 * `train.jsonl` - For **training**.
 * `devtest_rw.jsonl` - To evaluate a model's classification performance on a "**real-world**" set of sentences, i.e., the set was created with the objective to resemble real-world distribution as to sentiment and other factors mentioned in the paper.
-* `devtest_mt.jsonl` - To evaluate a model's classification performance only on sentences that contain **at least two target mentions**. Note that the mentions were extracted to refer to different persons but in a few cases might indeed refer to the same person since we extracted them automatically.
+* `devtest_mt.jsonl` - To evaluate a model's classification performance only on sentences that contain at least **two target mentions**. Note that the mentions were extracted to refer to different persons but in a few cases might indeed refer to the same person.
 
-For most projects, we suggest to use `train.jsonl` for training and `devtest_rw.jsonl` for evaluation. 
+**For most projects, we suggest** to use `train.jsonl` for training and `devtest_rw.jsonl` for evaluation. 
 
 ### Format
-Each split is stored in a JSONL file. In JSONL, each line represents one JSON object. In our dataset, each JSON object consists of the following attributes. When using the dataset, you most likely will need (only) the attributes highlighted in bold.
+Each split is stored in a JSONL file. In JSONL, each line represents one JSON object. In our dataset, each JSON object consists of the following attributes. When using the dataset, you most likely will need (only) the attributes highlighted in **bold**.
 
 1. **`sentence_normalized`: a single sentence**
 2. `primary_gid`: an identifier that is unique within NewsMTSC
@@ -48,8 +48,9 @@ Each target in `targets` consists of:
 3. **`to`: the last character of the target's mention**
 4. `mention`: the text of the mention
 5. **`polarity`: the sentiment of the sentence concerning the target's mention (2.0 = negative, 4.0 = neutral, 6.0 = positive)**
-6. `further_mentions` (optional): one or more coreferential mentions of the target within the sentence. Note that these were extracted automatically and thus might be incorrect or not be complete. Further, our annotators labeled the sentiment concerning the main mention, which - depending on the sentence - might not be identical to the sentiment of the coreferences.
+6. `further_mentions` (optional): one or more coreferential mentions of the target within the sentence. Note that the coreferences were extracted automatically and thus might not be incorrect. Our annotators labeled sentiment concerning the main mention, which might not be identical to the sentiment of coreferences.
 
+An example looks like this:
 ```
 {
    "primary_gid":"allsides_1192_476_17_— Judge Neil M. Gorsuch_126_139",