|
--- |
|
dataset_info: |
|
- config_name: corpus |
|
features: |
|
- name: _id |
|
dtype: string |
|
- name: partition |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: meta_information |
|
struct: |
|
- name: starter_code |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
splits: |
|
- name: corpus |
|
num_bytes: 6044437 |
|
num_examples: 8765 |
|
download_size: 2699470 |
|
dataset_size: 6044437 |
|
- config_name: default |
|
features: |
|
- name: query-id |
|
dtype: string |
|
- name: corpus-id |
|
dtype: string |
|
- name: score |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 127786 |
|
num_examples: 5000 |
|
- name: test |
|
num_bytes: 97890 |
|
num_examples: 3765 |
|
download_size: 101288 |
|
dataset_size: 225676 |
|
- config_name: queries |
|
features: |
|
- name: _id |
|
dtype: string |
|
- name: partition |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: meta_information |
|
struct: |
|
- name: starter_code |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
splits: |
|
- name: queries |
|
num_bytes: 13633677 |
|
num_examples: 8765 |
|
download_size: 6605803 |
|
dataset_size: 13633677 |
|
configs: |
|
- config_name: corpus |
|
data_files: |
|
- split: corpus |
|
path: corpus/corpus-* |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
- config_name: queries |
|
data_files: |
|
- split: queries |
|
path: 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) |
|
``` |
