Cyrile commited on
Commit
60d6447
·
verified ·
1 Parent(s): b9b7c57

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +76 -1
README.md CHANGED
@@ -30,4 +30,79 @@ tags:
30
  - Java
31
  - JavaScript
32
  - C/C++
33
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
  - Java
31
  - JavaScript
32
  - C/C++
33
+ ---
34
+
35
+ # Dataset Card for `multilang-eval-quality`
36
+
37
+ ## Description
38
+
39
+ The `multilang-eval-quality` dataset is a multilingual and multi-domain dataset designed for evaluating language model performance during training. It can be used for
40
+ performance tracking, generalization diagnostics across languages or domains, and for implementing early stopping mechanisms.
41
+
42
+ The examples included were automatically selected as **High quality** by the [`EuroBERT-210m-Quality`](https://huggingface.co/TempestTeam/EuroBERT-210m-Quality) model,
43
+ trained to estimate web text quality in multiple languages.
44
+
45
+ ## Dataset Composition
46
+
47
+ - **Natural Languages**:
48
+ - English: 2,640 examples (from FineWeb)
49
+ - French: 2,720 examples (from FineWeb-2)
50
+ - Spanish: 2,640 examples (from FineWeb-2)
51
+
52
+ - **Programming Languages** (from The Stack v2):
53
+ - Python: 500 examples
54
+ - Java: 500 examples
55
+ - JavaScript: 500 examples
56
+ - C: 250 examples
57
+ - C++: 250 examples
58
+
59
+ - **Total**: 10,000 high-quality examples
60
+
61
+ ## Data Structure
62
+
63
+ Each example includes the following fields:
64
+
65
+ - **`text`** (*string*): the textual content or source code.
66
+ - **`lang`** (*string*): the language of the content (e.g., `English`, `French`, `Spanish`, `Python`, `C++`, etc.).
67
+ - **`type`** (*string*): the type of content:
68
+ - `"NL"` for natural language
69
+ - `"CL"` for code language
70
+ - **`id`** (*string*): a unique identifier generated by hashing the `text` field.
71
+
72
+ ## Use Cases
73
+
74
+ This dataset is intended for **periodic evaluation** during language model training:
75
+
76
+ - Tracking performance on high-quality data
77
+ - Evaluation per batch or epoch
78
+ - Validation metric computation for early stopping
79
+ - Performance comparison by language or domain
80
+
81
+ It is **not intended for direct training**, due to its limited size and its purpose as a filtered evaluation sample.
82
+
83
+ ## Licenses
84
+
85
+ The dataset is built from sources under the following licenses:
86
+
87
+ | Source | License |
88
+ |:---------------------:|:----------------:|
89
+ | FineWeb | ODC-BY 1.0 |
90
+ | FineWeb-2 | ODC-BY 1.0 |
91
+ | The Stack v2 | Other |
92
+ | EuroBERT-210m-Quality | Apache-2.0 |
93
+
94
+ Users must ensure they comply with the specific license conditions when reusing or redistributing this data.
95
+
96
+ ## Risks and Limitations
97
+
98
+ ### Sensitive Data
99
+
100
+ The original sources are from the public web and were automatically cleaned. Despite filtering, some data may still contain sensitive, personal, or confidential information.
101
+
102
+ It is strongly recommended **not to use this dataset in production or user-facing systems without manual review**.
103
+
104
+ ### Bias
105
+
106
+ - Quality annotations were produced by an automatic classifier and may reflect its training biases.
107
+ - The dataset covers only three natural languages and five programming languages.
108
+ - Cultural, thematic, or syntactic biases may be present depending on the source corpora.