Datasets:
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README.md
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---
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license: apache-2.0
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task_categories:
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- question-answering
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language:
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- th
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configs:
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- config_name: onet
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data_files:
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- split: train
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path: data/onet/onet_train.jsonl
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- split: test
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path: data/onet/onet_test.jsonl
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- config_name: ic
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data_files:
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- split: train
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path: data/ic/ic_train.jsonl
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- split: test
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path: data/ic/ic_test.jsonl
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- config_name: tgat
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data_files:
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- split: train
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path: data/tgat/tgat_train.jsonl
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- split: test
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path: data/tgat/tgat_test.jsonl
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- config_name: tpat1
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data_files:
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- split: train
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path: data/tpat1/tpat1_train.jsonl
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- split: test
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path: data/tpat1/tpat1_test.jsonl
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- config_name: a_level
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data_files:
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- split: train
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path: data/a_level/a_level_train.jsonl
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- split: test
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path: data/a_level/a_level_test.jsonl
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size_categories:
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- n<1K
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---
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# Dataset Card for Thai\_Exam
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@@ -56,6 +56,11 @@ ThaiExam is a Thai knowledge benchmarking dataset, consisting of multiple-choice
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# Usage
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For each exam, the train split, consisting of 5 examples, can be used for 5-shot evaluation (in-context examples), and we provide a 5-shot evaluation script [here]().
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# HELM
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This dataset has been integrated into [the HELM leaderboard](https://crfm.stanford.edu/helm/thai/latest/#leaderboard) by Stanford CRFM.
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---
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license: apache-2.0
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task_categories:
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- question-answering
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language:
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- th
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configs:
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- config_name: onet
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data_files:
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- split: train
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path: data/onet/onet_train.jsonl
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- split: test
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path: data/onet/onet_test.jsonl
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- config_name: ic
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data_files:
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- split: train
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path: data/ic/ic_train.jsonl
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- split: test
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path: data/ic/ic_test.jsonl
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- config_name: tgat
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data_files:
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- split: train
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path: data/tgat/tgat_train.jsonl
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- split: test
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path: data/tgat/tgat_test.jsonl
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- config_name: tpat1
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data_files:
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- split: train
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path: data/tpat1/tpat1_train.jsonl
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- split: test
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path: data/tpat1/tpat1_test.jsonl
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- config_name: a_level
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data_files:
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- split: train
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path: data/a_level/a_level_train.jsonl
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- split: test
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path: data/a_level/a_level_test.jsonl
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size_categories:
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- n<1K
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---
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# Dataset Card for Thai\_Exam
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# Usage
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For each exam, the train split, consisting of 5 examples, can be used for 5-shot evaluation (in-context examples), and we provide a 5-shot evaluation script [here]().
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# Version
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This dataset was initially developed for evaluating Typhoon. As we made improvements and fixed errors in the dataset, here are the versions:
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- `v0.1`: As per results reported in [the Typhoon technical report](https://arxiv.org/abs/2312.13951) and Typhoon . This pre-release version can be downloaded from [this link]().
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- `v1.0`: The current version (`revision: 596a4ea2bbb2803ae42b89d887cfad4b6c446dbd`)
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# HELM
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This dataset has been integrated into [the HELM leaderboard](https://crfm.stanford.edu/helm/thai/latest/#leaderboard) by Stanford CRFM.
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