mfromm commited on
Commit
e4d062b
·
verified ·
1 Parent(s): 6c4bbaa

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +41 -41
README.md CHANGED
@@ -4,44 +4,44 @@ pretty_name: JQL LLMs Multilingual Educational Quality Annotations
4
  license: odc-by
5
  source_license: Same as FineWeb2 (see upstream dataset)
6
  size_categories:
7
- - 100K<n<1M
8
  language:
9
- - bg
10
- - cs
11
- - hr
12
- - mk
13
- - pl
14
- - sl
15
- - sk
16
- - sr
17
- - uk
18
- - da
19
- - de
20
- - is
21
- - nl
22
- - nn
23
- - nb
24
- - sv
25
- - ca
26
- - es
27
- - fr
28
- - ga
29
- - gl
30
- - it
31
- - pt
32
- - ro
33
- - et
34
- - fi
35
- - hu
36
- - lt
37
- - lv
38
- - el
39
- - mt
40
- - tr
41
- - sq
42
- - eu
43
- - hy
44
- - en
45
  ---
46
 
47
  # 📚 JQL Educational Quality Annotations from LLMs
@@ -62,7 +62,7 @@ This dataset provides high-quality LLMs annotations for evaluating the **educati
62
 
63
  Includes both high-resource and low-resource languages. Input documents are in their native language, but models were prompted and responded in English.
64
 
65
- ## Dataset Structure: 🧱
66
 
67
  | Name | Description |
68
  |------------------|-----------------------------------------------------|
@@ -81,7 +81,7 @@ This dataset provides high-quality LLMs annotations for evaluating the **educati
81
  | edu_score | Dictionary with per-model aggregated scores (modelname_score), **-1 if a invalid score was generated** |
82
  | aggregation | Dictionary with per-model aggregated type (modelname_type), either majority or average |
83
 
84
- ## Data Splits: ✂️
85
 
86
  This dataset is not pre-split. Users can generate custom splits by:
87
  - Language
@@ -96,7 +96,7 @@ This dataset provides high-quality LLMs annotations for evaluating the **educati
96
  - Distillation and teacher-student LLM training
97
  - Creating filters for noisy web-scale data
98
 
99
- ## Limitations: ⚠️
100
 
101
  - LLM-generated scores, not human-authored
102
  - Some predictions may be invalid or inconsistent
@@ -135,6 +135,6 @@ This dataset provides high-quality LLMs annotations for evaluating the **educati
135
  ```
136
 
137
 
138
- ## links: 🔗
139
  - Base Dataset: [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
140
  - Related Work: [FineWeb2 LLM Judging Section](https://huggingface.co/papers/llm-quality-judging-fineweb2)
 
4
  license: odc-by
5
  source_license: Same as FineWeb2 (see upstream dataset)
6
  size_categories:
7
+ - 10M<n<100M
8
  language:
9
+ - bg
10
+ - cs
11
+ - hr
12
+ - mk
13
+ - pl
14
+ - sl
15
+ - sk
16
+ - sr
17
+ - uk
18
+ - da
19
+ - de
20
+ - is
21
+ - nl
22
+ - nn
23
+ - nb
24
+ - sv
25
+ - ca
26
+ - es
27
+ - fr
28
+ - ga
29
+ - gl
30
+ - it
31
+ - pt
32
+ - ro
33
+ - et
34
+ - fi
35
+ - hu
36
+ - lt
37
+ - lv
38
+ - el
39
+ - mt
40
+ - tr
41
+ - sq
42
+ - eu
43
+ - hy
44
+ - en
45
  ---
46
 
47
  # 📚 JQL Educational Quality Annotations from LLMs
 
62
 
63
  Includes both high-resource and low-resource languages. Input documents are in their native language, but models were prompted and responded in English.
64
 
65
+ ## 🧱 Dataset Structure:
66
 
67
  | Name | Description |
68
  |------------------|-----------------------------------------------------|
 
81
  | edu_score | Dictionary with per-model aggregated scores (modelname_score), **-1 if a invalid score was generated** |
82
  | aggregation | Dictionary with per-model aggregated type (modelname_type), either majority or average |
83
 
84
+ ## ✂️ Data Splits:
85
 
86
  This dataset is not pre-split. Users can generate custom splits by:
87
  - Language
 
96
  - Distillation and teacher-student LLM training
97
  - Creating filters for noisy web-scale data
98
 
99
+ ## ⚠️ Limitations:
100
 
101
  - LLM-generated scores, not human-authored
102
  - Some predictions may be invalid or inconsistent
 
135
  ```
136
 
137
 
138
+ ## 🔗 Links:
139
  - Base Dataset: [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)
140
  - Related Work: [FineWeb2 LLM Judging Section](https://huggingface.co/papers/llm-quality-judging-fineweb2)