Update README.md

README.md

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 license: mit
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-**OLMoASR-Pool** is a web-scale audio-text dataset collected from the public internet, consisting of approximately 3M hours of audio and 17M transcripts. 
+**OLMoASR-Pool** is a web-scale audio-text dataset collected from the public internet, consisting of approximately **3M hours of audio** and **17M transcripts**. 
 
-With OLMoASR-Pool, we trained **OLMoASR**, a series of English speech recognition models and observed strong generalization and robust capabilities!
+With OLMoASR-Pool, we trained **OLMoASR** 💬🎙️, a series of English speech recognition models and observed strong generalization and robust capabilities!
 
 # Content
 - The dataset contains 18,761,823 unique IDs spanning approximately 3.4M hours of audio.
-- It also spans across a variety speaking styles, accents and audio setups such as news segments, podcasts, outdoors, crowds, speeches, commentary, interviews and more!
+- It also spans across a variety speaking styles, accents and audio setups such as news segments 📰, podcasts 🎙️, outdoors 🌳🏙️, crowds 🧑‍🤝‍🧑, speeches 🎤, commentary 🗣️, interviews 🤳 and more!
 - **OLMoASR-Pool** is multilingual as it can contain non-English audio/transcripts. To retrieve an English-only dataset, it is critical to perform audio-text language alignment.
 - After downloading the collection for training, only 3M hours of audio and 17M transcripts remains.
 
@@ -35,3 +35,7 @@ With OLMoASR-Pool, we trained **OLMoASR**, a series of English speech recognitio
 # Uses
 The collection was used to train a speech recognition model, but it can also be used in research areas such as conversational data, audio understanding, speaker diarization, voice detection and more.
 
+# License
+
+# Reference
+