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lujiaying / MUG-Bench

Data and code of the Findings of EMNLP'23 paper MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

https://aclanthology.org/2023.findings-emnlp.354/

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Make This Repo Ready to Public #8

Closed lujiaying closed 1 year ago

lujiaying commented 1 year ago

README.md needs to be polished.

Now it has three sections: Datasets Prerequisites Reproduce Results

Major issues now:

[x] Datasets: do we really have each files in the given URL? If not have certain file info.json, please let me know
[x] Prerequisites: does it really enough for reproducing results?
[x] Reproduce Results:
- [x] run_baseline.sh: do we provide every baseline script and our own model script?
- [x] baselines/xxxx: in paper we name our model as MugNet, we need properly refer it.

We are expecting the final repo looks like:

qyccc3 commented 1 year ago

Dataset

Heartstone-All-set have __MACOSX compile file

lujiaying commented 1 year ago

@qyccc3 could you help edit run_baseline.sh, so that every model used in the paper has one example in it. Also, in README, could you explicitly show each example, and provide necessary explanations of each parameter?