diff --git a/docs/benchmark.md b/docs/benchmark.md
index 65155688fdb38b32e05d7f0271051a64ea4818e4..9ac04877e3ff1bdc57297c4676715e9ae4689a67 100644
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@@ -5,11 +5,11 @@ We compare our results with some popular frameworks and official releases in ter
 ## Comparision Rules
 
 Here we compare our MMAction repo with other video understanding toolboxes in the same data and model settings
-by the training time per iteration. We use the
-commit id [7f3490d](https://github.com/open-mmlab/mmaction/tree/7f3490d3db6a67fe7b87bfef238b757403b670e3)(1/5/2020) of MMAction V0.1,
-commit id [8d53d6f](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd) of Temporal-Shift-Module,
-commit id [133e40f](https://github.com/facebookresearch/SlowFast/tree/133e40f8349ce37b0e6168639da0811a413579c8) of PySlowFast,
-commit id [f13707f](https://github.com/wzmsltw/BSN-boundary-sensitive-network/tree/f13707fbc362486e93178c39f9c4d398afe2cb2f)(12/12/2018) of BSN(boundary sensitive network).
+by the training time per iteration. Here, we use
+- commit id [7f3490d](https://github.com/open-mmlab/mmaction/tree/7f3490d3db6a67fe7b87bfef238b757403b670e3)(1/5/2020) of MMAction V0.1
+- commit id [8d53d6f](https://github.com/mit-han-lab/temporal-shift-module/tree/8d53d6fda40bea2f1b37a6095279c4b454d672bd) of Temporal-Shift-Module
+- commit id [133e40f](https://github.com/facebookresearch/SlowFast/tree/133e40f8349ce37b0e6168639da0811a413579c8) of PySlowFast
+- commit id [f13707f](https://github.com/wzmsltw/BSN-boundary-sensitive-network/tree/f13707fbc362486e93178c39f9c4d398afe2cb2f)(12/12/2018) of BSN(boundary sensitive network)
 
 To ensure the fairness of the comparison, the comparison experiments were conducted under the same hardware environment and using the same dataset.
 For each model setting, we kept the same data preprocessing methods to make sure the same feature input.