From 4854d398708594a13e3043daf1a19adfde970ea2 Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期三, 27 九月 2023 10:48:51 +0800
Subject: [PATCH] Merge pull request #983 from alibaba-damo-academy/dev_lyh
---
docs/m2met2/index.rst | 1 +
docs/m2met2/Dataset.md | 4 +++-
2 files changed, 4 insertions(+), 1 deletions(-)
diff --git a/docs/m2met2/Dataset.md b/docs/m2met2/Dataset.md
index a897d67..74548fd 100644
--- a/docs/m2met2/Dataset.md
+++ b/docs/m2met2/Dataset.md
@@ -21,4 +21,6 @@
The three dataset for training mentioned above can be downloaded at [OpenSLR](https://openslr.org/resources.php). The participants can download via the following links. Particularly, in the baseline we provide convenient data preparation scripts for AliMeeting corpus.
- [AliMeeting](https://openslr.org/119/)
- [AISHELL-4](https://openslr.org/111/)
-- [CN-Celeb](https://openslr.org/82/)
\ No newline at end of file
+- [CN-Celeb](https://openslr.org/82/)
+
+Now, the new test set is available [here](https://speech-lab-share-data.oss-cn-shanghai.aliyuncs.com/AliMeeting/openlr/Test_2023_Ali.tar.gz)
diff --git a/docs/m2met2/index.rst b/docs/m2met2/index.rst
index 101b7d5..6567dee 100644
--- a/docs/m2met2/index.rst
+++ b/docs/m2met2/index.rst
@@ -9,6 +9,7 @@
To advance the current state-of-the-art in multi-talker automatic speech recognition, the M2MeT2.0 challenge proposes a speaker-attributed ASR task, comprising two sub-tracks: fixed and open training conditions.
To facilitate reproducible research, we provide a comprehensive overview of the dataset, challenge rules, evaluation metrics, and baseline systems.
+Now the new test set contains about 10 hours audio is available. You can download from `here <https://speech-lab-share-data.oss-cn-shanghai.aliyuncs.com/AliMeeting/openlr/Test_2023_Ali.tar.gz>`_
.. toctree::
:maxdepth: 1
--
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