Update model card, add download section

README.md

@@ -64,7 +64,7 @@ tags:
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-# TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations
+# Hashtag Prediction Dataset from paper TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-green.svg?style=flat-square)](https://huggingface.co/datasets/Twitter/HashtagPrediction/discussions) [![arXiv](https://img.shields.io/badge/arXiv-2203.15827-b31b1b.svg)](https://arxiv.org/abs/2209.07562) [![Github](https://img.shields.io/badge/Github-TwHIN--BERT-brightgreen?logo=github)](https://github.com/xinyangz/TwHIN-BERT)
 
 
@@ -75,6 +75,9 @@ This repo contains the Hashtag prediction dataset from our paper [TwHIN-BERT: A
 
 <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.
 
+## Download
+Use the `hashtag-classification-id.zip` in this repo. [Link](https://huggingface.co/datasets/Twitter/HashtagPrediction/blob/main/hashtag-classification-id.zip).
+
 ## Dataset Description
 
 The hashtag prediction dataset is a multilingual classification dataset. Separate datasets are given for different languages. We first select 500 (or all available) popular hashtags of each language and then sample 10k (or all available) popular Tweets that contain these hashtags. We make sure each Tweet will have exactly one of the selected hashtags.