[New Task] Add Paloma benchmark (#1928)

* init paloma benchmark

* pre-process in utils function

* add `task_alias`

* updated task aliases

* Update paloma_dolma-v1_5.yaml

* Update paloma_twitterAAE_HELM_fixed.yaml

* Update paloma_dolma_100_programing_languages.yaml

---------
Co-authored-by: Lintang Sutawika <lintang@eleuther.ai>

lm_eval/tasks/README.md

@@ -70,6 +70,7 @@
 | okapi/mmlu_multilingual | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (34 languages) |
 | [okapi/truthfulqa_multilingual](okapi/truthfulqa_multilingual/README.md) | Tasks that involve reading comprehension and information retrieval challenges. | Multiple (31 languages) |
 | [openbookqa](openbookqa/README.md) | Open-book question answering tasks that require external knowledge and reasoning. | English |
+| [paloma](paloma/README.md) | Paloma is a comprehensive benchmark designed to evaluate open language models across a wide range of domains, ranging from niche artist communities to mental health forums on Reddit. | English |
 | [paws-x](paws-x/README.md) | Paraphrase Adversaries from Word Scrambling, focusing on cross-lingual capabilities. | English, French, Spanish, German, Chinese, Japanese, Korean |
 | [pile](pile/README.md) | Open source language modelling data set that consists of 22 smaller, high-quality datasets. | English |
 | [pile_10k](pile_10k/README.md) | The first 10K elements of The Pile, useful for debugging models trained on it. | English |

lm_eval/tasks/paloma/README.md

+# Paloma
+
+### Paper
+Title: Paloma: A Benchmark for Evaluating Language Model Fit
+
+Abstract: https://arxiv.org/abs/2312.10523v1
+
+Paloma is a comprehensive benchmark designed to evaluate open language models across a wide range of domains, ranging from niche artist communities to mental health forums on Reddit. It assesses the performance of various models across 585 distinct domains.
+
+Homepage: https://allenai.org/olmo
+
+
+### Note
+
+If you are running the entire `paloma` benchmark (or just `paloma_dolma_100_programing_languages`) with a HuggingFace model, make sure to pass `logits_cache=False` to `--model_args`, for example:
+```
+lm_eval --model hf --model_args pretrained=EleutherAI/pythia-160m,logits_cache=False --tasks paloma
+```
+
+
+### Citation
+```
+@article{paloma,
+  title={{Paloma}: A Benchmark for Evaluating Language Model Fit},
+  author={Magnusson, Ian and Bhagia, Akshita and Hofmann, Valentin and Soldaini, Luca and Harsh Jha, Ananya and Tafjord, Oyvind and Schwenk,Dustin and Walsh, Evan Pete and Elazar, Yanai and Lo, Kyle and Groenveld,Dirk and Beltagy,Iz and  Hajishirz,Hanneneh and Smith, Noah A. and Richardson,Kyle and Dodge,Jesse},
+  journal={technical report},
+  year={2023},
+  url={https://paloma.allen.ai/}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `paloma`
+
+#### Tasks
+
+* `paloma_4chan_meta_sep`
+* `paloma_c4_100_domains`
+* `paloma_c4_en`
+* `paloma_dolma_100_programing_languages`
+* `paloma_dolma_100_subreddits`
+* `paloma_dolma-v1_5`
+* `paloma_falcon-refinedweb`
+* `paloma_gab`
+* `paloma_m2d2_s2orc_unsplit`
+* `paloma_m2d2_wikipedia_unsplit`
+* `paloma_manosphere_meta_sep`
+* `paloma_mc4`
+* `paloma_ptb`
+* `paloma_redpajama`
+* `paloma_twitterAAE_HELM_fixed`
+* `paloma_wikitext_103`
+
+### 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_eval/tasks/paloma/paloma.yaml

+group:
+  - paloma
+dataset_path: allenai/paloma
+output_type: loglikelihood_rolling
+validation_split: val
+test_split: test
+doc_to_text: ""
+doc_to_target: !function paloma_utils.doc_to_target
+should_decontaminate: true
+doc_to_decontamination_query: !function paloma_utils.doc_to_target
+metric_list:
+  - metric: word_perplexity
+    aggregation: weighted_perplexity
+    higher_is_better: false
+  - metric: byte_perplexity
+    aggregation: weighted_perplexity
+    higher_is_better: false
+  - metric: bits_per_byte
+    aggregation: bits_per_byte
+    higher_is_better: false
+metadata:
+  version: 1

lm_eval/tasks/paloma/paloma_4chan_meta_sep.yaml

+include: paloma.yaml
+task: paloma_4chan_meta_sep
+task_alias: 4chan Corpus
+dataset_name: 4chan_meta_sep

lm_eval/tasks/paloma/paloma_c4_100_domains.yaml

+include: paloma.yaml
+task: paloma_c4_100_domains
+task_alias: C4-100-domains
+dataset_name: c4_100_domains

lm_eval/tasks/paloma/paloma_c4_en.yaml

+include: paloma.yaml
+task: paloma_c4_en
+task_alias: C4
+dataset_name: c4_en

lm_eval/tasks/paloma/paloma_dolma-v1_5.yaml

+include: paloma.yaml
+task: paloma_dolma-v1_5
+task_alias: Dolma V1.5
+dataset_name: dolma-v1_5

lm_eval/tasks/paloma/paloma_dolma_100_programing_languages.yaml

+include: _paloma_template
+task: paloma_dolma_100_programing_languages
+task_alias: 100 PLs
+dataset_name: dolma_100_programing_languages

lm_eval/tasks/paloma/paloma_dolma_100_subreddits.yaml

+include: paloma.yaml
+task: paloma_dolma_100_subreddits
+task_alias: Dolma-100-subreddits
+dataset_name: dolma_100_subreddits

lm_eval/tasks/paloma/paloma_falcon-refinedweb.yaml

+include: paloma.yaml
+task: paloma_falcon-refinedweb
+task_alias: Falcon Refinedweb
+dataset_name: falcon-refinedweb

lm_eval/tasks/paloma/paloma_gab.yaml

+include: paloma.yaml
+task: paloma_gab
+task_alias: Gab Corpus
+dataset_name: gab

lm_eval/tasks/paloma/paloma_m2d2_s2orc_unsplit.yaml

+include: paloma.yaml
+task: paloma_m2d2_s2orc_unsplit
+task_alias: M2D2 S2ORC
+dataset_name: m2d2_s2orc_unsplit

lm_eval/tasks/paloma/paloma_m2d2_wikipedia_unsplit.yaml

+include: paloma.yaml
+task: paloma_m2d2_wikipedia_unsplit
+task_alias: M2D2 Wikipedia
+dataset_name: m2d2_wikipedia_unsplit

lm_eval/tasks/paloma/paloma_manosphere_meta_sep.yaml

+include: paloma.yaml
+task: paloma_manosphere_meta_sep
+task_alias: Manosphere Corpus
+dataset_name: manosphere_meta_sep

lm_eval/tasks/paloma/paloma_mc4.yaml

+include: paloma.yaml
+task: paloma_mc4
+task_alias: mC4-en
+dataset_name: mc4

lm_eval/tasks/paloma/paloma_ptb.yaml

+include: paloma.yaml
+task: paloma_ptb
+task_alias: Penn Treebank
+dataset_name: ptb

lm_eval/tasks/paloma/paloma_redpajama.yaml

+include: paloma.yaml
+task: paloma_redpajama
+task_alias: RedPajama
+dataset_name: redpajama

lm_eval/tasks/paloma/paloma_twitterAAE_HELM_fixed.yaml

+include: paloma.yaml
+task: paloma_twitterAAE_HELM_fixed
+task_alias: Twitter AAE
+dataset_name: twitterAAE_HELM_fixed

lm_eval/tasks/paloma/paloma_utils.py

+def doc_to_target(doc):
+    return str(doc["text"])

lm_eval/tasks/paloma/paloma_wikitext_103.yaml

+include: paloma.yaml
+task: paloma_wikitext_103
+task_alias: Wikitext-103
+dataset_name: wikitext_103