|
|
--- |
|
|
dataset_info: |
|
|
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|
|
features: |
|
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|
|
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|
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|
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|
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|
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splits: |
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dataset_size: 82647410 |
|
|
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features: |
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splits: |
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|
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|
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dataset_size: 8197177 |
|
|
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|
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features: |
|
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struct: |
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dtype: string |
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splits: |
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|
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download_size: 105273567 |
|
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dataset_size: 267462526 |
|
|
- config_name: ruby-corpus |
|
|
features: |
|
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dtype: string |
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dtype: string |
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- name: meta_information |
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struct: |
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dtype: string |
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splits: |
|
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|
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|
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num_examples: 27570 |
|
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download_size: 3144098 |
|
|
dataset_size: 7285353 |
|
|
- config_name: ruby-qrels |
|
|
features: |
|
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dtype: string |
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dtype: string |
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- name: score |
|
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dtype: int64 |
|
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splits: |
|
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|
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num_bytes: 675736 |
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num_examples: 24927 |
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|
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num_bytes: 39196 |
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num_examples: 1400 |
|
|
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|
|
num_bytes: 35302 |
|
|
num_examples: 1261 |
|
|
download_size: 316865 |
|
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dataset_size: 750234 |
|
|
- config_name: ruby-queries |
|
|
features: |
|
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- name: _id |
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dtype: string |
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- name: title |
|
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dtype: string |
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- name: partition |
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dtype: string |
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- name: text |
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dtype: string |
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- name: language |
|
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dtype: string |
|
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- name: meta_information |
|
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struct: |
|
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- name: resource |
|
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dtype: string |
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splits: |
|
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- name: queries |
|
|
num_bytes: 13895860 |
|
|
num_examples: 27588 |
|
|
download_size: 5834046 |
|
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dataset_size: 13895860 |
|
|
configs: |
|
|
- config_name: go-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: go-corpus/corpus-* |
|
|
- config_name: go-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: go-qrels/train-* |
|
|
- split: valid |
|
|
path: go-qrels/valid-* |
|
|
- split: test |
|
|
path: go-qrels/test-* |
|
|
- config_name: go-queries |
|
|
data_files: |
|
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- split: queries |
|
|
path: go-queries/queries-* |
|
|
- config_name: java-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: java-corpus/corpus-* |
|
|
- config_name: java-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: java-qrels/train-* |
|
|
- split: valid |
|
|
path: java-qrels/valid-* |
|
|
- split: test |
|
|
path: java-qrels/test-* |
|
|
- config_name: java-queries |
|
|
data_files: |
|
|
- split: queries |
|
|
path: java-queries/queries-* |
|
|
- config_name: javascript-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: javascript-corpus/corpus-* |
|
|
- config_name: javascript-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: javascript-qrels/train-* |
|
|
- split: valid |
|
|
path: javascript-qrels/valid-* |
|
|
- split: test |
|
|
path: javascript-qrels/test-* |
|
|
- config_name: javascript-queries |
|
|
data_files: |
|
|
- split: queries |
|
|
path: javascript-queries/queries-* |
|
|
- config_name: php-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: php-corpus/corpus-* |
|
|
- config_name: php-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: php-qrels/train-* |
|
|
- split: valid |
|
|
path: php-qrels/valid-* |
|
|
- split: test |
|
|
path: php-qrels/test-* |
|
|
- config_name: php-queries |
|
|
data_files: |
|
|
- split: queries |
|
|
path: php-queries/queries-* |
|
|
- config_name: python-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: python-corpus/corpus-* |
|
|
- config_name: python-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: python-qrels/train-* |
|
|
- split: valid |
|
|
path: python-qrels/valid-* |
|
|
- split: test |
|
|
path: python-qrels/test-* |
|
|
- config_name: python-queries |
|
|
data_files: |
|
|
- split: queries |
|
|
path: python-queries/queries-* |
|
|
- config_name: ruby-corpus |
|
|
data_files: |
|
|
- split: corpus |
|
|
path: ruby-corpus/corpus-* |
|
|
- config_name: ruby-qrels |
|
|
data_files: |
|
|
- split: train |
|
|
path: ruby-qrels/train-* |
|
|
- split: valid |
|
|
path: ruby-qrels/valid-* |
|
|
- split: test |
|
|
path: ruby-qrels/test-* |
|
|
- config_name: ruby-queries |
|
|
data_files: |
|
|
- split: queries |
|
|
path: ruby-queries/queries-* |
|
|
--- |
|
|
Employing the MTEB evaluation framework's dataset version, utilize the code below for assessment: |
|
|
|
|
|
```python |
|
|
import mteb |
|
|
import logging |
|
|
from sentence_transformers import SentenceTransformer |
|
|
from mteb import MTEB |
|
|
|
|
|
logger = logging.getLogger(__name__) |
|
|
|
|
|
model_name = 'intfloat/e5-base-v2' |
|
|
model = SentenceTransformer(model_name) |
|
|
tasks = mteb.get_tasks( |
|
|
tasks=[ |
|
|
"AppsRetrieval", |
|
|
"CodeFeedbackMT", |
|
|
"CodeFeedbackST", |
|
|
"CodeTransOceanContest", |
|
|
"CodeTransOceanDL", |
|
|
"CosQA", |
|
|
"SyntheticText2SQL", |
|
|
"StackOverflowQA", |
|
|
"COIRCodeSearchNetRetrieval", |
|
|
"CodeSearchNetCCRetrieval", |
|
|
] |
|
|
) |
|
|
evaluation = MTEB(tasks=tasks) |
|
|
results = evaluation.run( |
|
|
model=model, |
|
|
overwrite_results=True |
|
|
) |
|
|
print(result) |
|
|
``` |
