Spaces:
Runtime error
Runtime error
Update Space (evaluate main: c447fc8e)
Browse files- comet.py +4 -23
- requirements.txt +1 -1
comet.py
CHANGED
|
@@ -34,9 +34,6 @@ predictions['scores']
|
|
| 34 |
```
|
| 35 |
"""
|
| 36 |
|
| 37 |
-
from dataclasses import dataclass
|
| 38 |
-
from typing import Optional
|
| 39 |
-
|
| 40 |
import comet # From: unbabel-comet
|
| 41 |
import datasets
|
| 42 |
import torch
|
|
@@ -109,29 +106,15 @@ Examples:
|
|
| 109 |
"""
|
| 110 |
|
| 111 |
|
| 112 |
-
@dataclass
|
| 113 |
-
class COMETConfig(evaluate.info.Config):
|
| 114 |
-
|
| 115 |
-
name: str = "default"
|
| 116 |
-
|
| 117 |
-
gpus: Optional[int] = None
|
| 118 |
-
progress_bar: bool = False
|
| 119 |
-
|
| 120 |
-
|
| 121 |
@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
|
| 122 |
class COMET(evaluate.Metric):
|
| 123 |
-
|
| 124 |
-
CONFIG_CLASS = COMETConfig
|
| 125 |
-
ALLOWED_CONFIG_NAMES = None
|
| 126 |
-
|
| 127 |
-
def _info(self, config):
|
| 128 |
|
| 129 |
return evaluate.MetricInfo(
|
| 130 |
description=_DESCRIPTION,
|
| 131 |
citation=_CITATION,
|
| 132 |
homepage="https://unbabel.github.io/COMET/html/index.html",
|
| 133 |
inputs_description=_KWARGS_DESCRIPTION,
|
| 134 |
-
config=config,
|
| 135 |
features=datasets.Features(
|
| 136 |
{
|
| 137 |
"sources": datasets.Value("string", id="sequence"),
|
|
@@ -153,12 +136,10 @@ class COMET(evaluate.Metric):
|
|
| 153 |
else:
|
| 154 |
self.scorer = comet.load_from_checkpoint(comet.download_model(self.config_name))
|
| 155 |
|
| 156 |
-
def _compute(self, sources, predictions, references):
|
| 157 |
-
if
|
| 158 |
gpus = 1 if torch.cuda.is_available() else 0
|
| 159 |
-
else:
|
| 160 |
-
gpus = self.config.gpus
|
| 161 |
data = {"src": sources, "mt": predictions, "ref": references}
|
| 162 |
data = [dict(zip(data, t)) for t in zip(*data.values())]
|
| 163 |
-
scores, mean_score = self.scorer.predict(data, gpus=gpus, progress_bar=
|
| 164 |
return {"mean_score": mean_score, "scores": scores}
|
|
|
|
| 34 |
```
|
| 35 |
"""
|
| 36 |
|
|
|
|
|
|
|
|
|
|
| 37 |
import comet # From: unbabel-comet
|
| 38 |
import datasets
|
| 39 |
import torch
|
|
|
|
| 106 |
"""
|
| 107 |
|
| 108 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 109 |
@evaluate.utils.file_utils.add_start_docstrings(_DESCRIPTION, _KWARGS_DESCRIPTION)
|
| 110 |
class COMET(evaluate.Metric):
|
| 111 |
+
def _info(self):
|
|
|
|
|
|
|
|
|
|
|
|
|
| 112 |
|
| 113 |
return evaluate.MetricInfo(
|
| 114 |
description=_DESCRIPTION,
|
| 115 |
citation=_CITATION,
|
| 116 |
homepage="https://unbabel.github.io/COMET/html/index.html",
|
| 117 |
inputs_description=_KWARGS_DESCRIPTION,
|
|
|
|
| 118 |
features=datasets.Features(
|
| 119 |
{
|
| 120 |
"sources": datasets.Value("string", id="sequence"),
|
|
|
|
| 136 |
else:
|
| 137 |
self.scorer = comet.load_from_checkpoint(comet.download_model(self.config_name))
|
| 138 |
|
| 139 |
+
def _compute(self, sources, predictions, references, gpus=None, progress_bar=False):
|
| 140 |
+
if gpus is None:
|
| 141 |
gpus = 1 if torch.cuda.is_available() else 0
|
|
|
|
|
|
|
| 142 |
data = {"src": sources, "mt": predictions, "ref": references}
|
| 143 |
data = [dict(zip(data, t)) for t in zip(*data.values())]
|
| 144 |
+
scores, mean_score = self.scorer.predict(data, gpus=gpus, progress_bar=progress_bar)
|
| 145 |
return {"mean_score": mean_score, "scores": scores}
|
requirements.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
git+https://github.com/huggingface/evaluate@
|
| 2 |
unbabel-comet
|
| 3 |
torch
|
|
|
|
| 1 |
+
git+https://github.com/huggingface/evaluate@c447fc8eda9c62af501bfdc6988919571050d950
|
| 2 |
unbabel-comet
|
| 3 |
torch
|