Update README.md

README.md

@@ -19,7 +19,7 @@ This dataset is designed to be a resource for the empirical study of generic sen
 
 ## Data Structure
 
-The dataset is released in several files. 
+The dataset is released in several .csv files. 
 
 - `sentences.csv` This is the main file, containing only the generic and quantified sentences with some metadata, as described below.
 
@@ -35,7 +35,7 @@ The dataset is released in several files.
 | `quantifier_position`       | Quantifier position. Either `first_word` or `middle` if the quantifier is after the bare plural (i.e. tigers are normally striped). |
 | `quantifier_category`       | One of `gen`, `determiner`, `adverbial`. |
 
-- In `documents/` we find the .csv for the documents from each of the five sources.
+- Documents with the contexts of the generic/quantified sentences from each of the five sources.
 
 | Column Name | Description          |
 |-------------|----------------------|
@@ -43,11 +43,11 @@ The dataset is released in several files.
 | `text`       | Context text (string). |
 | `source`       | Source of the document. |
 
-The `doc_id` is calculated by hashing the raw string of the whole documents from <a href="https://huggingface.co/datasets/Zyphra/Zyda" target="_blank">ZYDA</a>.
+The `doc_id` is calculated by hashing the raw string of the whole documents from [ZYDA](https://huggingface.co/datasets/Zyphra/Zyda).
 
 The following python snippet calculates the hash (`doc_id`) from the `text` of a document: `hashlib.sha1(text).hexdigest()`.
 
-Note that this repository does not contain the context documents. 
+Note that this repository does not currently contain the context documents, to download those please see [blogpost](https://gustavocilleruelo.com/mgen).  
 
 ## Recommended Usage
 
@@ -55,9 +55,9 @@ It is recommended to sample first from `sentences.csv`, finding those sentences
 
 ## Cite
 
-If you use this dataset, please cite the paper! Also feel free to contact me for any doubts or additional data.
+If you use this dataset, please please please cite the paper! Also feel free to contact me for any doubts or additional data!
 
-`
+```
 @inproceedings{cilleruelo2025mgen,
   author    = {Gustavo Cilleruelo Calderón and Emily Allaway and Barry Haddow and Alexandra Birch},
   title     = {MGEN: Millions of Naturally Occurring Generics in Context},
@@ -65,4 +65,4 @@ If you use this dataset, please cite the paper! Also feel free to contact me for
   year      = {2025},
   note      = {Forthcoming},
 }
-`
+```