|
--- |
|
dataset_info: |
|
- config_name: corpus |
|
features: |
|
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|
dtype: string |
|
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struct: |
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splits: |
|
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download_size: 2609576 |
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dataset_size: 6074846 |
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|
features: |
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splits: |
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dataset_size: 38310307 |
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features: |
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dtype: string |
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splits: |
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download_size: 2079738 |
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features: |
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dtype: string |
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splits: |
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dataset_size: 52844259 |
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features: |
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dataset_size: 5209610 |
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features: |
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num_examples: 181061 |
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dataset_size: 76773974 |
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- config_name: javascript-corpus |
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features: |
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splits: |
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num_examples: 65201 |
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download_size: 9148280 |
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dataset_size: 20940791 |
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features: |
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dtype: string |
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dtype: string |
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dtype: int64 |
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splits: |
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download_size: 743674 |
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dataset_size: 1803408 |
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features: |
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splits: |
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num_examples: 65201 |
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download_size: 12144058 |
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dataset_size: 28240438 |
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- config_name: php-corpus |
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features: |
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dtype: string |
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struct: |
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splits: |
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num_examples: 268237 |
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dataset_size: 75580225 |
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features: |
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dtype: string |
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dtype: string |
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splits: |
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num_examples: 12982 |
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num_bytes: 420420 |
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num_examples: 14014 |
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download_size: 3053262 |
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dataset_size: 7824890 |
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|
features: |
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dtype: string |
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dtype: string |
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struct: |
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splits: |
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num_examples: 268237 |
|
download_size: 41855424 |
|
dataset_size: 108819401 |
|
- config_name: python-corpus |
|
features: |
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features: |
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num_examples: 14918 |
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dataset_size: 8197340 |
|
- config_name: python-queries |
|
features: |
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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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dtype: string |
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splits: |
|
- name: queries |
|
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|
num_examples: 280652 |
|
download_size: 68811755 |
|
dataset_size: 164228951 |
|
- config_name: ruby-corpus |
|
features: |
|
- name: _id |
|
dtype: string |
|
- 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 |
|
dtype: string |
|
- name: meta_information |
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struct: |
|
- name: resource |
|
dtype: string |
|
splits: |
|
- name: corpus |
|
num_bytes: 6074846 |
|
num_examples: 27588 |
|
download_size: 2609576 |
|
dataset_size: 6074846 |
|
- config_name: ruby-qrels |
|
features: |
|
- name: query-id |
|
dtype: string |
|
- name: corpus-id |
|
dtype: string |
|
- name: score |
|
dtype: int64 |
|
splits: |
|
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|
num_bytes: 675736 |
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num_examples: 24927 |
|
- name: valid |
|
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|
num_examples: 1400 |
|
- name: test |
|
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num_examples: 1261 |
|
download_size: 316849 |
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dataset_size: 750244 |
|
- config_name: ruby-queries |
|
features: |
|
- name: _id |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: partition |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: meta_information |
|
struct: |
|
- name: resource |
|
dtype: string |
|
splits: |
|
- name: queries |
|
num_bytes: 8891575 |
|
num_examples: 27588 |
|
download_size: 3948111 |
|
dataset_size: 8891575 |
|
configs: |
|
- config_name: corpus |
|
data_files: |
|
- split: corpus |
|
path: corpus/corpus-* |
|
- 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: |
|
- 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) |
|
``` |
|
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) |
|
``` |
