Unverified Commit bb5b46d7 authored by Yu Shi Jie's avatar Yu Shi Jie Committed by GitHub
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Merge branch 'EleutherAI:main' into mmlu-pro

parents 1e4e058c 6f7b4a05
task: bertaqa_en_mt_latxa-70b-v1
include: _bertaqa_template
dataset_name: en_mt_latxa-70b-v1
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_latxa-7b-v1.1
include: _bertaqa_template
dataset_name: en_mt_latxa-7b-v1.1
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_latxa-7b-v1
include: _bertaqa_template
dataset_name: en_mt_latxa-7b-v1
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_llama-2-13b
include: _bertaqa_template
dataset_name: en_mt_llama-2-13b
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_llama-2-70b
include: _bertaqa_template
dataset_name: en_mt_llama-2-70b
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_llama-2-7b
include: _bertaqa_template
dataset_name: en_mt_llama-2-7b
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_madlad
include: _bertaqa_template
dataset_name: en_mt_madlad
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_en_mt_nllb
include: _bertaqa_template
dataset_name: en_mt_nllb
doc_to_text: "Question: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nAnswer:"
task: bertaqa_eu
include: _bertaqa_template
dataset_name: eu
doc_to_text: "Galdera: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nErantzuna:"
# 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?
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
include: _paloma_template
task: paloma_4chan_meta_sep
task_alias: 4chan
dataset_name: 4chan_meta_sep
include: _paloma_template
task: paloma_c4_100_domains
task_alias: C4 100 Domains
dataset_name: c4_100_domains
include: _paloma_template
task: paloma_c4_en
task_alias: C4
dataset_name: c4_en
include: _paloma_template
task: paloma_dolma-v1_5
task_alias: Dolma V1.5
dataset_name: dolma-v1_5
include: _paloma_template
task: paloma_dolma_100_programing_languages
task_alias: 100 PLs
dataset_name: dolma_100_programing_languages
include: _paloma_template
task: paloma_dolma_100_subreddits
task_alias: 100 Subreddits
dataset_name: dolma_100_subreddits
include: _paloma_template
task: paloma_falcon-refinedweb
task_alias: Falcon
dataset_name: falcon-refinedweb
include: _paloma_template
task: paloma_gab
task_alias: Gab
dataset_name: gab
include: _paloma_template
task: paloma_m2d2_s2orc_unsplit
task_alias: M2D2 S2ORC
dataset_name: m2d2_s2orc_unsplit
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