File size: 3,811 Bytes
7a78eb7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77fb865
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7a78eb7
 
 
77fb865
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: year
    dtype: int64
  - name: class
    dtype:
      class_label:
        names:
          '0': Beginning of political activity
          '1': Building the Italian Republic
          '2': From fascism to the Italian Republic
          '3': Habsburg years
          '4': Internal exile
  - name: year_range
    dtype:
      class_label:
        names:
          '0': 1901-1905
          '1': 1906-1910
          '2': 1911-1915
          '3': 1916-1920
          '4': 1921-1925
          '5': 1926-1930
          '6': 1931-1935
          '7': 1936-1940
          '8': 1941-1945
          '9': 1946-1950
          '10': 1951-1955
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 16007781
    num_examples: 2210
  - name: test
    num_bytes: 4513601
    num_examples: 549
  - name: test_ood
    num_bytes: 186150
    num_examples: 100
  download_size: 12416424
  dataset_size: 20707532
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: test_ood
    path: data/test_ood-*
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
- text-retrieval
language:
- it
size_categories:
- 1K<n<10K
---

# DaDoEval
**Disclaimer: This dataset is not the official DaDoEval repository from EVALITA. For the official dataset and more information, please visit the [EVALITA DaDoEval page](https://dhfbk.github.io/DaDoEval/) and the [DaDoEval repository](https://github.com/dhfbk/DaDoEval).**

# Overview
The DaDoEval dataset is a curated collection of 2,759 documents authored by Alcide De Gasperi, spanning the period from 1901 to 1954. Each document in the dataset is manually tagged with its date of issue. This dataset is designed for the temporal classification task, specifically focused on assigning a temporal span to documents. The corpus is divided into a training set and an in-domain test set to facilitate supervised learning approaches. In addition to the primary dataset, a cross-genre out-of-domain test set consisting of approximately 100 letters from the Epistolario project is included.

## Sub-tasks:
1. **Coarse-grained Classification:** Assign documents to one of five historical periods in De Gasperi's life.
2. **Fine-grained Classification:** Assign documents to a 5-year temporal slice.
3. **Year-based Classification:** Assign documents to their exact year of publication.


## Historical Periods:
The following table outlines the periods defined by historians for the coarse-grained classification task:

| Period                         | Years       |
|--------------------------------|-------------|
| Habsburg years                 | 1901-1918   |
| Beginning of political activity| 1919-1926   |
| Internal exile                 | 1927-1942   |
| From fascism to the Italian Republic | 1943-1947   |
| Building the Italian Republic  | 1948-1954   |

## Dataset Structure:
- `id`: A unique identifier for each document.
- `text`: The full text content of the document.
- `year`: The exact year the document was issued.
- `class`: The historical period the document belongs to.
- `year_range`: A 5-year temporal slice indicating the period the document falls into.

## Citation

If you use this dataset, please cite the original authors:

```
@inproceedings{menini2020dadoeval,
  title={DaDoEval@ EVALITA 2020: Same-genre and cross-genre dating of historical documents},
  author={Menini, Stefano and Moretti, Giovanni and Sprugnoli, Rachele and Tonelli, Sara and others},
  booktitle={Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)},
  pages={391--397},
  year={2020},
  organization={Accademia University Press}
}
```