id
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| description
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joey234/mmlu-philosophy-neg
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joey234
|
Dataset Card for "mmlu-philosophy-neg"
More Information needed
|
joey234/mmlu-prehistory-neg
|
joey234
|
Dataset Card for "mmlu-prehistory-neg"
More Information needed
|
joey234/mmlu-professional_accounting-neg
|
joey234
|
Dataset Card for "mmlu-professional_accounting-neg"
More Information needed
|
joey234/mmlu-professional_law-neg
|
joey234
|
Dataset Card for "mmlu-professional_law-neg"
More Information needed
|
joey234/mmlu-professional_medicine-neg
|
joey234
|
Dataset Card for "mmlu-professional_medicine-neg"
More Information needed
|
joey234/mmlu-professional_psychology-neg
|
joey234
|
Dataset Card for "mmlu-professional_psychology-neg"
More Information needed
|
joey234/mmlu-public_relations-neg
|
joey234
|
Dataset Card for "mmlu-public_relations-neg"
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|
joey234/mmlu-security_studies-neg
|
joey234
|
Dataset Card for "mmlu-security_studies-neg"
More Information needed
|
joey234/mmlu-sociology-neg
|
joey234
|
Dataset Card for "mmlu-sociology-neg"
More Information needed
|
joey234/mmlu-us_foreign_policy-neg
|
joey234
|
Dataset Card for "mmlu-us_foreign_policy-neg"
More Information needed
|
joey234/mmlu-virology-neg
|
joey234
|
Dataset Card for "mmlu-virology-neg"
More Information needed
|
joey234/mmlu-world_religions-neg
|
joey234
|
Dataset Card for "mmlu-world_religions-neg"
More Information needed
|
fnlp/moss-002-sft-data
|
fnlp
|
Dataset Card for "moss-002-sft-data"
Dataset Summary
An open-source conversational dataset that was used to train MOSS-002. The user prompts are extended based on a small set of human-written seed prompts in a way similar to Self-Instruct. The AI responses are generated using text-davinci-003. The user prompts of en_harmlessness are from Anthropic red teaming data.
Data Splits
name
# samples
en_helpfulness.json
419049
en_honesty.json… See the full description on the dataset page: https://huggingface.co/datasets/fnlp/moss-002-sft-data.
|
lighteval/MATH
|
lighteval
|
MATH is a dataset of 12,500 challenging competition mathematics problems. Each
problem in Math has a full step-by-step solution which can be used to teach
models to generate answer derivations and explanations.
|
stingning/ultrachat
|
stingning
|
Dataset Card for Dataset Name
Dataset Description
An open-source, large-scale, and multi-round dialogue data powered by Turbo APIs. In consideration of factors such as safeguarding privacy, we do not directly use any data available on the Internet as prompts.
To ensure generation quality, two separate ChatGPT Turbo APIs are adopted in generation, where one plays the role of the user to generate queries and the other generates the response.
We instruct the user… See the full description on the dataset page: https://huggingface.co/datasets/stingning/ultrachat.
|
doushabao4766/weibo_ner_knowledge_V3
|
doushabao4766
|
Dataset Card for "weibo_ner_knowledge_V3"
More Information needed
|
LevMuchnik/SupremeCourtOfIsrael
|
LevMuchnik
|
Dataset Card for Dataset Name
Dataset Summary
This dataset represents a 2022 snapshot of the Supreme Court of Israel public verdicts and decisions supported by rich metadata. The 5.31GB dataset represents 751,194 documents.
Overall, the dataset contains 2.68 Gb of text.
It can be loaded with the dataset package:
import datasets
data = datasets.load_dataset('LevMuchnik/SupremeCourtOfIsrael')
Supported Tasks and Leaderboards
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/LevMuchnik/SupremeCourtOfIsrael.
|
CM/codexglue_codetrans
|
CM
|
Dataset Card for "codexglue_codetrans"
More Information needed
|
chronbmm/sanskrit-monolingual-pretraining
|
chronbmm
|
Dataset Card for "sanskrit-monolingual-pretraining"
More Information needed
|
CM/codexglue_code2text_go
|
CM
|
Dataset Card for "codexglue_code2text_go"
More Information needed
|
CM/codexglue_code2text_javascript
|
CM
|
Dataset Card for "codexglue_code2text_javascript"
More Information needed
|
CM/codexglue_code2text_python
|
CM
|
Dataset Card for "codexglue_code2text_python"
More Information needed
|
CM/codexglue_code2text_ruby
|
CM
|
Dataset Card for "codexglue_code2text_ruby"
More Information needed
|
yukiarimo/uta-lyrics
|
yukiarimo
|
AutoTrain Dataset for project: uta-ai-j-pop
Dataset Description
This dataset has been automatically processed by AutoTrain for project uta-ai-j-pop.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "Drink dry tears love pain destiny enough half selfless love and said anyway crazy shadows",
"target":… See the full description on the dataset page: https://huggingface.co/datasets/yukiarimo/uta-lyrics.
|
MBZUAI/Bactrian-X
|
MBZUAI
|
Dataset Card for "Bactrian-X"
A. Dataset Description
Homepage: https://github.com/mbzuai-nlp/Bactrian-X
Repository: https://huggingface.co/datasets/MBZUAI/Bactrian-X
Paper: to-be-soon released
Dataset Summary
The Bactrain-X dataset is a collection of 3.4M instruction-response pairs in 52 languages, that are obtained by translating 67K English instructions (alpaca-52k + dolly-15k) into 51 languages using Google Translate API. The translated… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI/Bactrian-X.
|
oyxy2019/BertTokenizer_THUCNews_10000_to_lm_datasets
|
oyxy2019
|
Dataset Card for "BertTokenizer_THUCNews_10000_to_lm_datasets"
选取seamew/THUCNewsText数据集10000条,微调IDEA-CCNL/Wenzhong2.0-GPT2-110M-BertTokenizer-chinese模型
More Information needed
|
Fiacre/small-animal-poses-controlnet-dataset
|
Fiacre
|
Dataset Card for "small-animal-poses-controlnet-dataset"
More Information needed
|
deepsynthbody/deepfake-ecg-small
|
deepsynthbody
|
ECG Dataset
This repository contains an small version of the ECG dataset: https://huggingface.co/datasets/deepsynthbody/deepfake_ecg, split into training, validation, and test sets. The dataset is provided as CSV files and corresponding ECG data files in .asc format. The ECG data files are organized into separate folders for the train, validation, and test sets.
Folder Structure
.
├── train.csv
├── validate.csv
├── test.csv
├── train
│ ├── file_1.asc
│ ├──… See the full description on the dataset page: https://huggingface.co/datasets/deepsynthbody/deepfake-ecg-small.
|
kaiokendev/SuperCOT-dataset
|
kaiokendev
|
epochs: 3
learning rate: 3e-4
lora rank: 8
lora alpha: 16
lora dropout: 0.05 for cutoff 1024 13B, otherwise no dropout due to gradient checkpointing
masking: none
mbatch size: 4 (1 for 30B)
batch size: 8 (2 for 30B)
val set size: 0.2
sdp implementation: xformers
optimizer: AdamW
eval strategy: none
Cleaned combination of:
https://huggingface.co/datasets/QingyiSi/Alpaca-CoT
Chain of thought QED
Chain of thought Aqua
CodeAlpaca
https://huggingface.co/datasets/neulab/conala
Code snippets… See the full description on the dataset page: https://huggingface.co/datasets/kaiokendev/SuperCOT-dataset.
|
jxu124/llava_complex_reasoning_77k
|
jxu124
|
Dataset Card for "llava_complex_reasoning_77k"
More Information needed
|
seanghay/khmer-dictionary-44k
|
seanghay
|
RAC Khmer Dictionary 2022
Data was extracted from Khmer Dictionary 2022 by Royal Academy of Cambodia. This is for research purpose only! Not for commercial use.
|
NeoGraph/Luts_Cube
|
NeoGraph
|
Free luts file list
|
zhengyun21/PMC-Patients
|
zhengyun21
|
Dataset Card for PMC-Patients
Dataset Summary
PMC-Patients is a first-of-its-kind dataset consisting of 167k patient summaries extracted from case reports in PubMed Central (PMC), 3.1M patient-article relevance and 293k patient-patient similarity annotations defined by PubMed citation graph.
Supported Tasks and Leaderboards
This is purely the patient summary dataset with relational annotations. For ReCDS benchmark, refer to this dataset
Based on… See the full description on the dataset page: https://huggingface.co/datasets/zhengyun21/PMC-Patients.
|
joey234/mmlu-abstract_algebra-neg-prepend
|
joey234
|
Dataset Card for "mmlu-abstract_algebra-neg-prepend"
More Information needed
|
joey234/mmlu-anatomy-neg-prepend
|
joey234
|
Dataset Card for "mmlu-anatomy-neg-prepend"
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|
joey234/mmlu-astronomy-neg-prepend
|
joey234
|
Dataset Card for "mmlu-astronomy-neg-prepend"
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joey234/mmlu-business_ethics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-business_ethics-neg-prepend"
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|
joey234/mmlu-clinical_knowledge-neg-prepend
|
joey234
|
Dataset Card for "mmlu-clinical_knowledge-neg-prepend"
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|
joey234/mmlu-college_biology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_biology-neg-prepend"
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joey234/mmlu-college_chemistry-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_chemistry-neg-prepend"
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joey234/mmlu-college_computer_science-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_computer_science-neg-prepend"
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joey234/mmlu-college_mathematics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_mathematics-neg-prepend"
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|
joey234/mmlu-college_medicine-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_medicine-neg-prepend"
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joey234/mmlu-college_physics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_physics-neg-prepend"
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joey234/mmlu-computer_security-neg-prepend
|
joey234
|
Dataset Card for "mmlu-computer_security-neg-prepend"
More Information needed
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joey234/mmlu-econometrics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-econometrics-neg-prepend"
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|
joey234/mmlu-electrical_engineering-neg-prepend
|
joey234
|
Dataset Card for "mmlu-electrical_engineering-neg-prepend"
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|
joey234/mmlu-elementary_mathematics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-elementary_mathematics-neg-prepend"
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|
joey234/mmlu-formal_logic-neg-prepend
|
joey234
|
Dataset Card for "mmlu-formal_logic-neg-prepend"
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joey234/mmlu-global_facts-neg-prepend
|
joey234
|
Dataset Card for "mmlu-global_facts-neg-prepend"
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joey234/mmlu-high_school_biology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_biology-neg-prepend"
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joey234/mmlu-high_school_chemistry-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_chemistry-neg-prepend"
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joey234/mmlu-high_school_computer_science-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_computer_science-neg-prepend"
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joey234/mmlu-high_school_european_history-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_european_history-neg-prepend"
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joey234/mmlu-high_school_geography-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_geography-neg-prepend"
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joey234/mmlu-high_school_government_and_politics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_government_and_politics-neg-prepend"
More Information needed
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joey234/mmlu-high_school_macroeconomics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_macroeconomics-neg-prepend"
More Information needed
|
joey234/mmlu-high_school_mathematics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_mathematics-neg-prepend"
More Information needed
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joey234/mmlu-high_school_microeconomics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_microeconomics-neg-prepend"
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|
joey234/mmlu-high_school_physics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_physics-neg-prepend"
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|
joey234/mmlu-high_school_psychology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_psychology-neg-prepend"
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joey234/mmlu-high_school_statistics-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_statistics-neg-prepend"
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joey234/mmlu-high_school_us_history-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_us_history-neg-prepend"
More Information needed
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joey234/mmlu-high_school_world_history-neg-prepend
|
joey234
|
Dataset Card for "mmlu-high_school_world_history-neg-prepend"
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joey234/mmlu-human_aging-neg-prepend
|
joey234
|
Dataset Card for "mmlu-human_aging-neg-prepend"
More Information needed
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joey234/mmlu-human_sexuality-neg-prepend
|
joey234
|
Dataset Card for "mmlu-human_sexuality-neg-prepend"
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joey234/mmlu-international_law-neg-prepend
|
joey234
|
Dataset Card for "mmlu-international_law-neg-prepend"
More Information needed
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joey234/mmlu-jurisprudence-neg-prepend
|
joey234
|
Dataset Card for "mmlu-jurisprudence-neg-prepend"
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joey234/mmlu-logical_fallacies-neg-prepend
|
joey234
|
Dataset Card for "mmlu-logical_fallacies-neg-prepend"
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joey234/mmlu-management-neg-prepend
|
joey234
|
Dataset Card for "mmlu-management-neg-prepend"
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|
joey234/mmlu-marketing-neg-prepend
|
joey234
|
Dataset Card for "mmlu-marketing-neg-prepend"
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joey234/mmlu-miscellaneous-neg-prepend
|
joey234
|
Dataset Card for "mmlu-miscellaneous-neg-prepend"
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|
joey234/mmlu-moral_disputes-neg-prepend
|
joey234
|
Dataset Card for "mmlu-moral_disputes-neg-prepend"
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|
joey234/mmlu-moral_scenarios-neg-prepend
|
joey234
|
Dataset Card for "mmlu-moral_scenarios-neg-prepend"
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|
joey234/mmlu-nutrition-neg-prepend
|
joey234
|
Dataset Card for "mmlu-nutrition-neg-prepend"
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|
joey234/mmlu-philosophy-neg-prepend
|
joey234
|
Dataset Card for "mmlu-philosophy-neg-prepend"
More Information needed
|
joey234/mmlu-prehistory-neg-prepend
|
joey234
|
Dataset Card for "mmlu-prehistory-neg-prepend"
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|
joey234/mmlu-professional_accounting-neg-prepend
|
joey234
|
Dataset Card for "mmlu-professional_accounting-neg-prepend"
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|
joey234/mmlu-professional_law-neg-prepend
|
joey234
|
Dataset Card for "mmlu-professional_law-neg-prepend"
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|
joey234/mmlu-professional_medicine-neg-prepend
|
joey234
|
Dataset Card for "mmlu-professional_medicine-neg-prepend"
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|
joey234/mmlu-professional_psychology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-professional_psychology-neg-prepend"
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joey234/mmlu-public_relations-neg-prepend
|
joey234
|
Dataset Card for "mmlu-public_relations-neg-prepend"
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|
joey234/mmlu-security_studies-neg-prepend
|
joey234
|
Dataset Card for "mmlu-security_studies-neg-prepend"
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joey234/mmlu-sociology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-sociology-neg-prepend"
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|
joey234/mmlu-us_foreign_policy-neg-prepend
|
joey234
|
Dataset Card for "mmlu-us_foreign_policy-neg-prepend"
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|
joey234/mmlu-virology-neg-prepend
|
joey234
|
Dataset Card for "mmlu-virology-neg-prepend"
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|
joey234/mmlu-world_religions-neg-prepend
|
joey234
|
Dataset Card for "mmlu-world_religions-neg-prepend"
More Information needed
|
lucasmccabe-lmi/gpt4all_code
|
lucasmccabe-lmi
|
Dataset Card for "gpt4all_code"
We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents those records whose prompts were sourced from pacovaldez/stackoverflow-questions and who explicitly mention one of Python, Java, C++, SQL, Kotlin, PHP, Swift, MATLAB, Typescript, Scala, HTML, CSS, Rust, or Perl. Output records are responses from OpenAI’s GPT3.5-Turbo. Prompt/response pairs have been reformatted to… See the full description on the dataset page: https://huggingface.co/datasets/lucasmccabe-lmi/gpt4all_code.
|
MuGeminorum/Pima
|
MuGeminorum
|
Dataset Card for "MuGeminorum/Pima"
The Pima dataset is a well-known data repository in the field of healthcare and machine learning. The dataset contains demographic, clinical and diagnostic characteristics of Pima Indian women and is primarily used to predict the onset of diabetes based on these attributes. Each data point includes information such as age, number of pregnancies, body mass index, blood pressure, and glucose concentration. Researchers and data scientists use the… See the full description on the dataset page: https://huggingface.co/datasets/MuGeminorum/Pima.
|
itacasehold/itacasehold
|
itacasehold
|
ITA-CASEHOLD
Dataset Summary
This dataset contains the data used in the research of the ITA-CASEHOLD model, an extractive summarization model to extract holdings from Italian Legal Administrative documents.
The research paper titled 'Legal Holding Extraction from Italian Case Documents using Italian-LEGAL-BERT Text Summarization' is accepted for ICAIL 23.
It consists of 1101 pairs of judgments and their official holdings between the years 2019 and 2022 from the… See the full description on the dataset page: https://huggingface.co/datasets/itacasehold/itacasehold.
|
Pedrampedram/CancerGov_QA
|
Pedrampedram
|
Dataset Card for "CancerGov_QA"
More Information needed
|
jaydenccc/AI_Storyteller_Dataset
|
jaydenccc
|
Dataset Card for "AI_Storyteller_Dataset"
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|
joey234/mmlu-abstract_algebra-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-abstract_algebra-verbal-neg-prepend"
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joey234/mmlu-anatomy-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-anatomy-verbal-neg-prepend"
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joey234/mmlu-astronomy-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-astronomy-verbal-neg-prepend"
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joey234/mmlu-business_ethics-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-business_ethics-verbal-neg-prepend"
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joey234/mmlu-clinical_knowledge-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-clinical_knowledge-verbal-neg-prepend"
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joey234/mmlu-college_biology-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_biology-verbal-neg-prepend"
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joey234/mmlu-college_chemistry-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_chemistry-verbal-neg-prepend"
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joey234/mmlu-college_computer_science-verbal-neg-prepend
|
joey234
|
Dataset Card for "mmlu-college_computer_science-verbal-neg-prepend"
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