Copal task (#1803)

* add copal

* change name to copal id for clarity and the task name

* remove `copal_id...` to yaml to make it work

* checkmark on README

* change group name to `copal_id`

lm_eval/tasks/copal_id/README.md

+# COPAL
+
+### Paper
+
+Title: `COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances`
+
+Abstract: `https://arxiv.org/abs/2311.01012`
+
+`COPAL-ID is an Indonesian causal commonsense reasoning dataset that captures local nuances. It provides a more natural portrayal of day-to-day causal reasoning within the Indonesian (especially Jakartan) cultural sphere. Professionally written and validatid from scratch by natives, COPAL-ID is more fluent and free from awkward phrases, unlike the translated XCOPA-ID.`
+
+Homepage: `https://github.com/haryoa/copal-id`
+
+
+### Citation
+
+```
+@article{wibowo2023copal,
+  title={COPAL-ID: Indonesian Language Reasoning with Local Culture and Nuances},
+  author={Wibowo, Haryo Akbarianto and Fuadi, Erland Hilman and Nityasya, Made Nindyatama and Prasojo, Radityo Eko and Aji, Alham Fikri},
+  journal={arXiv preprint arXiv:2311.01012},
+  year={2023}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `copal_id`
+
+#### Tasks
+
+* `copal_id_standard`: `Standard version of COPAL dataset, use formal language and less local nuances`
+* `copal_id_colloquial`: `Colloquial version of COPAL dataset, use informal language and more local nuances`
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [x] Is the task an existing benchmark in the literature?
+  * [x] Have you referenced the original paper that introduced the task?
+  * [x] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+
+If other tasks on this dataset are already supported:
+* [ ] Is the "Main" variant of this task clearly denoted?
+* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?

lm_eval/tasks/copal_id/colloquial.yaml

+include: standard.yaml
+task: copal_id_colloquial
+task_alias: colloquial
+test_split: test_colloquial

lm_eval/tasks/copal_id/standard.yaml

+group: copal_id
+task: copal_id_standard
+task_alias: standard
+dataset_path: haryoaw/COPAL
+dataset_name: id
+output_type: multiple_choice
+test_split: test
+doc_to_text: !function utils.doc_to_text_id
+doc_to_target: label
+doc_to_choice: !function utils.doc_to_choice
+metric_list:
+  - metric: acc
+metadata:
+  version: 1.0

lm_eval/tasks/copal_id/utils.py

+from functools import partial
+
+
+def convert_choice(choice):
+    return choice[0].lower() + choice[1:]
+
+
+def doc_to_text(doc, connector):
+    conn = connector[doc["question"]]
+    return doc["premise"].strip()[:-1] + f" {conn}"
+
+
+def doc_to_choice(doc):
+    return [convert_choice(doc["choice1"]), convert_choice(doc["choice2"])]
+
+
+doc_to_text_id = partial(
+    doc_to_text,
+    connector={
+        "cause": "karena",
+        "effect": "maka",
+    },
+)