Update README.md

README.md

@@ -17,4 +17,73 @@ ESC consists of:
 
 - An [ESC leaderboard](https://huggingface.co/spaces/esc-bench/ESC) for ranking systems according to overall performance on the benchmark
 
-ESC was proposed in _ESC: A Benchmark For Multi-Domain End-to-End Speech Recognition_ by ... For more information, see the official submission on [OpenReview.net](https://openreview.net/forum?id=9OL2fIfDLK).
+ESC was proposed in _ESC: A Benchmark For Multi-Domain End-to-End Speech Recognition_ by ... For more information, see the official submission on [OpenReview.net](https://openreview.net/forum?id=9OL2fIfDLK).
+
+<div class="grid lg:grid-cols-3 gap-x-4 gap-y-7">
+	<p class="lg:col-span-3">
+    The End-to-end Speech Challenge (ESC) is a benchmark for assessing a single ASR system on a collection of eight different speech recognition datasets.<br />
+    The ESC datasets are sourced from different domains and cover a range of audio and text distributions (speaking styles, background noise, transcription requirements). The only constraint on systems is that they must use the same training and evaluation algorithms across datasets and may not use any dataset-specific pre- or post-processing, assuming the data distributions are a-priori unknown. The goal of ESC is to promote generalisable ASR systems that can be applied in a multi-domain setting.
+	</p>
+	<a href="https://spacy.io/" class="block overflow-hidden group">
+		<div
+			class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center bg-[#ECFAFF]"
+		>
+			<img alt="" src="/front/assets/promo/spacy_logo.png" class="w-40" />
+		</div>
+		<div class="underline">spaCy website</div>
+	</a>
+	<a
+		href="https://github.com/explosion/spacy-huggingface-hub"
+		class="block overflow-hidden"
+	>
+		<div class="flex items-center h-40 bg-[#ECFAFF] rounded-lg px-4 mb-2">
+			<pre
+				class="break-words leading-1 whitespace-pre-line text-xs text-gray-800">
+	python -m spacy huggingface-hub push [whl_path] [--org] [--msg] [--local-repo] [--verbose]
+		</pre>
+		</div>
+		<div class="underline">Upload packages on the hub</div>
+	</a>
+	<a
+		href="https://huggingface.co/models?filter=spacy"
+		class="block overflow-hidden group"
+	>
+		<div
+			class="w-full h-40 mb-2 bg-gray-900 group-hover:bg-gray-850 rounded-lg flex items-start justify-start overflow-hidden"
+		>
+			<img
+				alt=""
+				src="/front/assets/promo/spacy_widget.jpeg"
+				class="w-full h-40 object-cover overflow-hidden"
+			/>
+		</div>
+		<div class="underline">Find all spaCy models in the Hub</div>
+	</a>
+	<div class="lg:col-span-3">
+		<p class="mb-4">
+			To upload your spaCy pipelines to the Hub, you can use the <a
+				href="https://github.com/explosion/spacy-huggingface-hub"
+				>spacy-huggingface-hub</a
+			>
+			library.
+		</p>
+		<div
+			class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4"
+		>
+			<pre
+				class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
+	pip install spacy-huggingface-hub
+	huggingface-cli login
+	python -m spacy package ./en_ner_fashion ./output --build wheel
+	cd ./output/en_ner_fashion-0.0.0/dist
+	python -m spacy huggingface-hub push en_ner_fashion-0.0.0-py3-none-any.whl
+		</pre>
+		</div>
+		<p>
+			More information: <a
+				href="https://spacy.io/usage/v3-1#huggingface-hub"
+				class="underline">spaCy 3.1 release post</a
+			>
+		</p>
+	</div>
+</div>