[CI] Add git commit sha of the dataset branch in comment

[HotThoughts]

Proposed changes:

• Resolve Show git commit id of dataset branch in model regression tests #7678
• Add dataset commit sha to both the report and PR comment

Status (please check what you already did):

• test cpu with the branch test-branch. The commit shows in the comment is 395f75e58e092eedd31cb09fc622baa5de4dbce4, which matches the latest commit of the test-branch in our dataset repo.
• test gpu

[github-actions]

Commit: 6b563ff, The full report is available as an artifact.

Dataset branch: test-branch, commit: 395f75e58e092eedd31cb09fc622baa5de4dbce4

Dataset: Carbon Bot, Dataset repository branch: test-branch

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 36s, train: 10m28s, total: 11m3s	0.7282 (-0.01)	0.7529 (0.00)	0.4702 (0.01)

[github-actions]

Commit: a9f22a8, The full report is available as an artifact.

Dataset: Carbon Bot, Dataset repository branch: test-branch, commit: 395f75e58e092eedd31cb09fc622baa5de4dbce4

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 42s, train: 13m51s, total: 14m32s	0.7476 (0.01)	0.7529 (0.00)	0.4901 (0.03)

[github-actions]

Commit: 8bdb179, The full report is available as an artifact.

Commit: 8bdb179, The full report is available as an artifact.
Commit: 8bdb179, The full report is available as an artifact.

[github-actions]

Hey @tczekajlo! 👋 To run model regression tests, comment with the /modeltest command and a configuration.

Tips 💡: The model regression test will be run on push events. You can re-run the tests by re-add status:model-regression-tests label or use a Re-run jobs button in Github Actions workflow.

Tips 💡: Every time when you want to change a configuration you should edit the comment with the previous configuration.

You can copy this in your comment and customize:

/modeltest

```yml
##########
## Available datasets
##########
# - "Carbon Bot"
# - "Hermit"
# - "Private 1"
# - "Private 2"
# - "Private 3"
# - "Sara"

##########
## Available configurations
##########
# - "BERT + DIET(bow) + ResponseSelector(bow)"
# - "BERT + DIET(seq) + ResponseSelector(t2t)"
# - "Spacy + DIET(bow) + ResponseSelector(bow)"
# - "Spacy + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + BERT + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + BERT + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + Spacy + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + Spacy + DIET(seq) + ResponseSelector(t2t)"

## Example configuration
#################### syntax #################
## include:
##   - dataset: ["<dataset_name>"]
##     config: ["<configuration_name>"]
#
## Example:
## include:
##  - dataset: ["Carbon Bot"]
##    config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]
#
## Shortcut:
## You can use the "all" shortcut to include all available configurations or datasets
#
## Example: Use the "Sparse + EmbeddingIntent + ResponseSelector(bow)" configuration
## for all available datasets
## include:
##  - dataset: ["all"]
##    config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]
#
## Example: Use all available configurations for the "Carbon Bot" and "Sara" datasets
## and for the "Hermit" dataset use the "Sparse + DIET + ResponseSelector(T2T)" and
## "BERT + DIET + ResponseSelector(T2T)" configurations:
## include:
##  - dataset: ["Carbon Bot", "Sara"]
##    config: ["all"]
##  - dataset: ["Hermit"]
##    config: ["Sparse + DIET(seq) + ResponseSelector(t2t)", "BERT + DIET(seq) + ResponseSelector(t2t)"]
#
## Example: Define a branch name to check-out for a dataset repository. Default branch is 'main'
## dataset_branch: "test-branch"
## include:
##  - dataset: ["Carbon Bot", "Sara"]
##    config: ["all"]


include:
 - dataset: ["Carbon Bot"]
   config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]

```

[github-actions]

/modeltest

dataset_branch: "test-branch"
include:
 - dataset: ["Carbon Bot"]
   config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]

[github-actions]

The model regression tests have started. It might take a while, please be patient.
As soon as results are ready you'll see a new comment with the results.

Used configuration can be found in the comment.

[github-actions]

Commit: acfec15, The full report is available as an artifact.

Dataset: Carbon Bot, Dataset repository branch: test-branch, commit: 395f75e58e092eedd31cb09fc622baa5de4dbce4

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 40s, train: 2m45s, total: 3m24s	0.7340 (-0.01)	0.7529 (0.00)	0.5099 (0.05)

[HotThoughts]

@tczekajlo This PR is ready for review. The result reports look great on both cpu and gpu runner.

[tczekajlo]

LGTM 🎖️