Closes #583 | Add Dataloader multilingual-NLI-26lang-2mil7

[akhdanfadh]

Closes #583

There are 10 subsets. Configs will look like this: multilingual_nli_26lang_id_anli_source, multilingual_nli_26lang_vi_ling_seacrowd_pairs, etc. When testing, pass multilingual_nli_26lang_<subset> to the --subset_id parameter.

Here is a useful script to test all subsets:

To run this script, save it to a file (e.g., `mnli_tests.sh`), make it executable with `chmod +x mnli_tests.sh`, and execute it with `./mnli_tests.sh`. Ensure you run the script from the seacrowd root directory. ```bash #!/bin/bash DATASET="multilingual_nli_26lang" LANGS=("id" "vi") SUBSETS=("anli" "fever" "ling" "mnli" "wanli") mkdir -p data/${DATASET} success_count=0 fail_count=0 declare -a failed_tests for lang in "${LANGS[@]}"; do for subset in "${SUBSETS[@]}"; do subset_id="${lang}_${subset}" python_command="python -m tests.test_seacrowd seacrowd/sea_datasets/${DATASET}/${DATASET}.py --subset_id=${DATASET}_${subset_id}" output_file="data/${DATASET}/${subset_id}.txt" temp_output_file="data/${DATASET}/${subset_id}_temp.txt" # for cleaner cli output echo "Testing subset id: $subset_id" # run the test, save the output, and redirect verbose output to a temporary file script -q -c "$python_command" "$temp_output_file" > /dev/null cat "$temp_output_file" > "$output_file" rm "$temp_output_file" # check if the test was successful if grep -q "OK" "$output_file"; then echo "Test for $subset_id: SUCCESS" ((success_count++)) else echo "Test for $subset_id: FAILURE" failed_tests+=("$subset_id") ((fail_count++)) fi done done echo "-----------------------" echo "SUMMARY: $((success_count + fail_count)) tests total" echo "Success: $success_count" echo "Failure: $fail_count" if [ ${#failed_tests[@]} -gt 0 ]; then echo "Failed tests:" for test in "${failed_tests[@]}"; do echo "- $test" done fi ```

Checkbox

• [x] Confirm that this PR is linked to the dataset issue.
• [x] Create the dataloader script seacrowd/sea_datasets/my_dataset/my_dataset.py (please use only lowercase and underscore for dataset naming).
• [x] Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _URLs, _SUPPORTED_TASKS, _SOURCE_VERSION, and _SEACROWD_VERSION variables.
• [x] Implement _info(), _split_generators() and _generate_examples() in dataloader script.
• [x] Make sure that the BUILDER_CONFIGS class attribute is a list with at least one SEACrowdConfig for the source schema and one for a seacrowd schema.
• [x] Confirm dataloader script works with datasets.load_dataset function.
• [x] Confirm that your dataloader script passes the test suite run with python -m tests.test_seacrowd seacrowd/sea_datasets/<my_dataset>/<my_dataset>.py.
• [ ] If my dataset is local, I have provided an output of the unit-tests in the PR (please copy paste). This is OPTIONAL for public datasets, as we can test these without access to the data files.

[akhdanfadh]

@holylovenia Done!

[yongzx]

Everything runs on my end as well. I will merge this