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lm-evaluation/lm_eval/tasks/anli/README.md

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+# ANLI
+
+### Paper
+
+Title: `Adversarial NLI: A New Benchmark for Natural Language Understanding`
+
+Paper Link: https://arxiv.org/abs/1910.14599
+
+Adversarial NLI (ANLI) is a dataset collected via an iterative, adversarial
+human-and-model-in-the-loop procedure. It consists of three rounds that progressively
+increase in difficulty and complexity, and each question-answer includes annotator-
+provided explanations.
+
+Homepage: https://github.com/facebookresearch/anli
+
+### Citation
+
+```
+@inproceedings{nie-etal-2020-adversarial,
+    title = "Adversarial {NLI}: A New Benchmark for Natural Language Understanding",
+    author = "Nie, Yixin  and
+      Williams, Adina  and
+      Dinan, Emily  and
+      Bansal, Mohit  and
+      Weston, Jason  and
+      Kiela, Douwe",
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
+    year = "2020",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `anli`: Evaluates `anli_r1`, `anli_r2`, and `anli_r3`
+
+#### Tasks
+* `anli_r1`: The data collected adversarially in the first round.
+* `anli_r2`: The data collected adversarially in the second round, after training on the previous round's data.
+* `anli_r3`: The data collected adversarially in the third round, after training on the previous multiple rounds of data.
+
+
+### 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?
+  * [ ] 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?
+* [x] 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-evaluation/lm_eval/tasks/anli/anli_r1.yaml

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+group:
+  - anli
+task: anli_r1
+dataset_path: anli
+dataset_name: null
+output_type: multiple_choice
+training_split: train_r1
+validation_split: dev_r1
+test_split: test_r1
+doc_to_text: "{{premise}}\nQuestion: {{hypothesis}} True, False, or Neither?\nAnswer:"
+# True = entailment
+# False = contradiction
+# Neither = neutral
+doc_to_target: "{{['True', 'Neither', 'False'][label]}}"
+doc_to_choice:
+  - "True"
+  - "Neither"
+  - "False"
+should_decontaminate: true
+doc_to_decontamination_query: premise
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0

lm-evaluation/lm_eval/tasks/anli/anli_r2.yaml

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+include: anli_r1.yaml
+task: anli_r2
+training_split: train_r2
+validation_split: dev_r2
+test_split: test_r2

lm-evaluation/lm_eval/tasks/anli/anli_r3.yaml

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+include: anli_r1.yaml
+task: anli_r3
+training_split: train_r3
+validation_split: dev_r3
+test_split: test_r3

lm-evaluation/lm_eval/tasks/eus_exams/README.md

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+# EusExams
+
+### Paper
+
+Title: Latxa: An Open Language Model and Evaluation Suite for Basque
+
+Abstract: https://arxiv.org/abs/2403.20266
+
+EusExams is a collection of tests designed to prepare individuals for Public Service examinations conducted by several Basque institutions, including the public health system Osakidetza, the Basque Government, the City Councils of Bilbao and Gasteiz, and the University of the Basque Country (UPV/EHU). Within each of these groups, there are different exams for public positions, such as administrative and assistant roles. Each multiple-choice question contains 2 to 4 choices (3.90 on average) and one correct answer. The dataset is mostly parallel with 16k questions in Basque and 18k in Spanish.
+
+Homepage: https://github.com/hitz-zentroa/latxa
+
+
+### Citation
+
+```
+@misc{etxaniz2024latxa,
+      title={Latxa: An Open Language Model and Evaluation Suite for Basque},
+      author={Julen Etxaniz and Oscar Sainz and Naiara Perez and Itziar Aldabe and German Rigau and Eneko Agirre and Aitor Ormazabal and Mikel Artetxe and Aitor Soroa},
+      year={2024},
+      eprint={2403.20266},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `eus_exams_eu`: The Basque version of the exams.
+* `eus_exams_es`: The Spanish version of the exams.
+
+#### Tasks
+
+Basque and Spanish versions of the exams are available as separate tasks starting with `eus_exams_eu` and `eus_exams_es` respectively.
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [ ] Is the task an existing benchmark in the literature?
+  * [ ] Have you referenced the original paper that introduced the task?
+  * [ ] 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-evaluation/lm_eval/tasks/eus_exams/configs.py

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+import argparse
+import json
+
+import requests
+import yaml
+
+
+# get configs from huggingface datasets server by doing a request
+response = requests.get(
+    "https://datasets-server.huggingface.co/splits?dataset=HiTZ%2FEusExams", timeout=5
+)
+response_json = json.loads(response.text)
+CONFIGS = [split["config"] for split in response_json["splits"]]
+
+
+def gen_config_yamls(output_dir: str, overwrite: bool) -> None:
+    """
+    Generate a yaml file for each configuage.
+
+    :param output_dir: The directory to output the files to.
+    :param overwrite: Whether to overwrite files if they already exist.
+    """
+    err = []
+    for config in CONFIGS:
+        file_name = f"eus_exams_{config}.yaml"
+        try:
+            with open(f"{output_dir}/{file_name}", "w" if overwrite else "x") as f:
+                f.write("# Generated by utils.py\n")
+                yaml.dump(
+                    {
+                        "include": "eus_exams_es"
+                        if "eus_exams_es" in config
+                        else "eus_exams_eu",
+                        "dataset_name": config,
+                        "task": f"eus_exams_{config}",
+                    },
+                    f,
+                )
+        except FileExistsError:
+            err.append(file_name)
+
+    if len(err) > 0:
+        raise FileExistsError(
+            "Files were not created because they already exist (use --overwrite flag):"
+            f" {', '.join(err)}"
+        )
+
+
+def main() -> None:
+    """Parse CLI args and generate configuage-specific yaml files."""
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--overwrite",
+        default=False,
+        action="store_true",
+        help="Overwrite files if they already exist",
+    )
+    parser.add_argument(
+        "--output-dir", default=".", help="Directory to write yaml files to"
+    )
+    args = parser.parse_args()
+
+    gen_config_yamls(output_dir=args.output_dir, overwrite=args.overwrite)
+
+
+if __name__ == "__main__":
+    main()

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams

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+dataset_path: HiTZ/EusExams
+dataset_name: null
+validation_split: null
+test_split: test
+fewshot_split: test
+process_docs: !function utils.process_docs
+output_type: multiple_choice
+doc_to_choice: ["A", "B", "C", "D"]
+doc_to_target: answer
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es

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+include: eus_exams
+group:
+  - eus_exams_es
+doc_to_text: "Pregunta: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nD: {{candidates[3]}}\nRespuesta:"

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_ejadministrativo.yaml

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+# Generated by utils.py
+dataset_name: es_ejadministrativo
+include: eus_exams_es
+task: eus_exams_es_ejadministrativo

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_ejtecnico.yaml

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+# Generated by utils.py
+dataset_name: es_ejtecnico
+include: eus_exams_es
+task: eus_exams_es_ejtecnico

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeayuntamientovitoria.yaml

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+# Generated by utils.py
+dataset_name: es_opeayuntamientovitoria
+include: eus_exams_es
+task: eus_exams_es_opeayuntamientovitoria

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opebilbao.yaml

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+# Generated by utils.py
+dataset_name: es_opebilbao
+include: eus_exams_es
+task: eus_exams_es_opebilbao

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehuadmin.yaml

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+# Generated by utils.py
+dataset_name: es_opeehuadmin
+include: eus_exams_es
+task: eus_exams_es_opeehuadmin

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehubiblio.yaml

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+# Generated by utils.py
+dataset_name: es_opeehubiblio
+include: eus_exams_es
+task: eus_exams_es_opeehubiblio

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehuderecho.yaml

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+# Generated by utils.py
+dataset_name: es_opeehuderecho
+include: eus_exams_es
+task: eus_exams_es_opeehuderecho

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehueconomicas.yaml

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+# Generated by utils.py
+dataset_name: es_opeehueconomicas
+include: eus_exams_es
+task: eus_exams_es_opeehueconomicas

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehuempresariales.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_opeehuempresariales
+include: eus_exams_es
+task: eus_exams_es_opeehuempresariales

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehusubalterno.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_opeehusubalterno
+include: eus_exams_es
+task: eus_exams_es_opeehusubalterno

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehutecnico.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_opeehutecnico
+include: eus_exams_es
+task: eus_exams_es_opeehutecnico

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeehutecnicob.yaml

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+# Generated by utils.py
+dataset_name: es_opeehutecnicob
+include: eus_exams_es
+task: eus_exams_es_opeehutecnicob

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakiadmin.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_opeosakiadmin
+include: eus_exams_es
+task: eus_exams_es_opeosakiadmin

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakiaux.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakiaux
+include: eus_exams_es
+task: eus_exams_es_opeosakiaux

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakiauxenf.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakiauxenf
+include: eus_exams_es
+task: eus_exams_es_opeosakiauxenf

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakicelador.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_opeosakicelador
+include: eus_exams_es
+task: eus_exams_es_opeosakicelador

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakijuridico.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakijuridico
+include: eus_exams_es
+task: eus_exams_es_opeosakijuridico

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakioperario.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakioperario
+include: eus_exams_es
+task: eus_exams_es_opeosakioperario

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakitecnico.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakitecnico
+include: eus_exams_es
+task: eus_exams_es_opeosakitecnico

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_opeosakivarios.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakivarios
+include: eus_exams_es
+task: eus_exams_es_opeosakivarios

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza1c.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_osakidetza1c
+include: eus_exams_es
+task: eus_exams_es_osakidetza1c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza2c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza2c
+include: eus_exams_es
+task: eus_exams_es_osakidetza2c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza3c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza3c
+include: eus_exams_es
+task: eus_exams_es_osakidetza3c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza6c.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_osakidetza6c
+include: eus_exams_es
+task: eus_exams_es_osakidetza6c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza7c.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_osakidetza7c
+include: eus_exams_es
+task: eus_exams_es_osakidetza7c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza8c.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_osakidetza8c
+include: eus_exams_es
+task: eus_exams_es_osakidetza8c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza9c.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: es_osakidetza9c
+include: eus_exams_es
+task: eus_exams_es_osakidetza9c

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu

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+include: eus_exams
+group:
+  - eus_exams_eu
+doc_to_text: "Galdera: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nD: {{candidates[3]}}\nErantzuna:"

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_ejlaguntza.yaml

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+# Generated by utils.py
+dataset_name: eu_ejlaguntza
+include: eus_exams_eu
+task: eus_exams_eu_ejlaguntza

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_ejlaguntzaile.yaml

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+# Generated by utils.py
+dataset_name: eu_ejlaguntzaile
+include: eus_exams_eu
+task: eus_exams_eu_ejlaguntzaile

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_ejteknikari.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_ejteknikari
+include: eus_exams_eu
+task: eus_exams_eu_ejteknikari

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opebilbaoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opebilbaoeu
+include: eus_exams_eu
+task: eus_exams_eu_opebilbaoeu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuadmineu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuadmineu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuadmineu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuauxeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuauxeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuauxeu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehubiblioeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehubiblioeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehubiblioeu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehueconomicaseu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehueconomicaseu
+include: eus_exams_eu
+task: eus_exams_eu_opeehueconomicaseu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuempresarialeseu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuempresarialeseu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuempresarialeseu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehusubalternoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehusubalternoeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehusubalternoeu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehutecnicoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehutecnicoeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehutecnicoeu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuteknikarib.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuteknikarib
+include: eus_exams_eu
+task: eus_exams_eu_opeehuteknikarib

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeosakiadmineu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeosakiadmineu
+include: eus_exams_eu
+task: eus_exams_eu_opeosakiadmineu

lm-evaluation/lm_eval/tasks/eus_exams/eus_exams_eu_opeosakiauxenfeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeosakiauxenfeu
+include: eus_exams_eu
+task: eus_exams_eu_opeosakiauxenfeu