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README.md
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---
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license: cc-by-nc-sa-4.0
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language:
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- rm
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configs:
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- config_name: rm-surmiran
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data_files:
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- split: train
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path: data/rm-surmiran/train.jsonl
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- split: validation
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path: data/rm-surmiran/validation.jsonl
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- split: test
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path: data/rm-surmiran/test.jsonl
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- config_name: rm-sursilv
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data_files:
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- split: train
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path: data/rm-sursilv/train.jsonl
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- split: validation
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path: data/rm-sursilv/validation.jsonl
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- split: test
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path: data/rm-sursilv/test.jsonl
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- split: no_surmiran
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path: data/rm-sursilv/no_surmiran.jsonl
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- config_name: rm-puter
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data_files:
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- split: train
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path: data/rm-puter/train.jsonl
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- split: validation
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path: data/rm-puter/validation.jsonl
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- split: test
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path: data/rm-puter/test.jsonl
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- split: no_surmiran
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path: data/rm-puter/no_surmiran.jsonl
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- config_name: rm-sutsilv
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data_files:
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- split: train
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path: data/rm-sutsilv/train.jsonl
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- split: validation
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path: data/rm-sutsilv/validation.jsonl
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- split: test
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path: data/rm-sutsilv/test.jsonl
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- split: no_surmiran
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path: data/rm-sutsilv/no_surmiran.jsonl
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- config_name: rm-vallader
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data_files:
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- split: train
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path: data/rm-vallader/train.jsonl
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- split: validation
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path: data/rm-vallader/validation.jsonl
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- split: test
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path: data/rm-vallader/test.jsonl
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- split: no_surmiran
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path: data/rm-vallader/no_surmiran.jsonl
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---
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## General Information
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Release of the Mediomatix corpus, prepared by UZH and PHGR, to be used for research purposes only.
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In mediomatix-raw, we release the full _Mediomatix_ schoolbooks' text for each idiom. The data points are unaligned. See [here](https://huggingface.co/datasets/ZurichNLP/mediomatix) for the mulit-parallel, aligned _Mediomatix_ corpus.
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We use the following Romansh idiom codes as subsets in the dataset:
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- Sursilvan: rm-sursilv
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- Sutsilvan: rm-sutsilv
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- Surmiran: rm-surmiran
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- Puter: rm-puter
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- Vallader: rm-vallader
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The splits in each subset are:
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- train: Text from year 2 and 3 schoolbooks
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- validation: Text from year 4 schoolbooks
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- test: Text from year 5 schoolbooks
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- no_surmiran: Text from years 6-9; available for all idioms except rm-surmiran
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Each data point contains the following columns:
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- CmsElementID: An id referring to which CMS element a text was extracted from.
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- segmentID: A unique id for each row; differentiates between segments split apart from the same CMS element.
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- text: The extracted plain text from within an HTML segment
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- html: The extracted text, including any HTML markup
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- chapter: The name of the chapter from which a text was extracted
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- book: A code referring to the grade, volume, and type of school book
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Book names are encoded in the "book" column as follows:
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- The first digit refers to the school year of the book
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- The next refers to the book volums for that school year
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- The two letter code indicates whether the segment comes from the student workbook ("wb") or teacher's commentary ("tc")
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- Example: Book "5.1_tc" refers to teacher's commentary for Volume 1 of the year 5 schoolbook.
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## How to Use
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The subset for a specific Romansh idiom must be specified when loading the datset:
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```python
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from datasets import load_dataset
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sursilv = load_dataset("ZurichNLP/mediomatix-raw","rm-sursilv")
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# Load Train set:
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train_set = sursilv['train']
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# Load Validation set:
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val_set = sursilv['validation']
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# Load Test set:
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test_set = sursilv['test']
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# Load no-rm-surmiran if the subset is not rm-surmiran
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no_surm = sursilv['no_surmiran']
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```
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© 2025 Meds d'instrucziun dal Grischun
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---
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| 2 |
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license: cc-by-nc-sa-4.0
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| 3 |
+
language:
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| 4 |
+
- rm
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| 5 |
+
configs:
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- config_name: rm-surmiran
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+
data_files:
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- split: train
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path: data/rm-surmiran/train.jsonl
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- split: validation
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path: data/rm-surmiran/validation.jsonl
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- split: test
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path: data/rm-surmiran/test.jsonl
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- config_name: rm-sursilv
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data_files:
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- split: train
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path: data/rm-sursilv/train.jsonl
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+
- split: validation
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path: data/rm-sursilv/validation.jsonl
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- split: test
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path: data/rm-sursilv/test.jsonl
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- split: no_surmiran
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path: data/rm-sursilv/no_surmiran.jsonl
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- config_name: rm-puter
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data_files:
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- split: train
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path: data/rm-puter/train.jsonl
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- split: validation
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path: data/rm-puter/validation.jsonl
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- split: test
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path: data/rm-puter/test.jsonl
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- split: no_surmiran
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path: data/rm-puter/no_surmiran.jsonl
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- config_name: rm-sutsilv
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data_files:
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- split: train
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path: data/rm-sutsilv/train.jsonl
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- split: validation
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path: data/rm-sutsilv/validation.jsonl
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- split: test
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path: data/rm-sutsilv/test.jsonl
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- split: no_surmiran
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path: data/rm-sutsilv/no_surmiran.jsonl
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- config_name: rm-vallader
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data_files:
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- split: train
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path: data/rm-vallader/train.jsonl
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- split: validation
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path: data/rm-vallader/validation.jsonl
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- split: test
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path: data/rm-vallader/test.jsonl
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- split: no_surmiran
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path: data/rm-vallader/no_surmiran.jsonl
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---
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## General Information
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| 57 |
+
|
| 58 |
+
Release of the Mediomatix corpus, prepared by UZH and PHGR, to be used for research purposes only.
|
| 59 |
+
|
| 60 |
+
In mediomatix-raw, we release the full _Mediomatix_ schoolbooks' text for each idiom. The data points are unaligned. See [here](https://huggingface.co/datasets/ZurichNLP/mediomatix) for the mulit-parallel, aligned _Mediomatix_ corpus.
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+
|
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+
We use the following Romansh idiom codes as subsets in the dataset:
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| 63 |
+
- Sursilvan: rm-sursilv
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| 64 |
+
- Sutsilvan: rm-sutsilv
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+
- Surmiran: rm-surmiran
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+
- Puter: rm-puter
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+
- Vallader: rm-vallader
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+
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The splits in each subset are:
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+
- train: Text from year 2 and 3 schoolbooks
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+
- validation: Text from year 4 schoolbooks
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+
- test: Text from year 5 schoolbooks
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+
- no_surmiran: Text from years 6-9; available for all idioms except rm-surmiran
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| 74 |
+
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+
Each data point contains the following columns:
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| 76 |
+
- CmsElementID: An id referring to which CMS element a text was extracted from.
|
| 77 |
+
- segmentID: A unique id for each row; differentiates between segments split apart from the same CMS element.
|
| 78 |
+
- text: The extracted plain text from within an HTML segment
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| 79 |
+
- html: The extracted text, including any HTML markup
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| 80 |
+
- chapter: The name of the chapter from which a text was extracted
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+
- book: A code referring to the grade, volume, and type of school book
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+
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+
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+
Book names are encoded in the "book" column as follows:
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+
- The first digit refers to the school year of the book
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+
- The next refers to the book volums for that school year
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+
- The two letter code indicates whether the segment comes from the student workbook ("wb") or teacher's commentary ("tc")
|
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+
- Example: Book "5.1_tc" refers to teacher's commentary for Volume 1 of the year 5 schoolbook.
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+
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+
## How to Use
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+
|
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+
The subset for a specific Romansh idiom must be specified when loading the datset:
|
| 93 |
+
|
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+
```python
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from datasets import load_dataset
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sursilv = load_dataset("ZurichNLP/mediomatix-raw","rm-sursilv")
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# Load Train set:
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train_set = sursilv['train']
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# Load Validation set:
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val_set = sursilv['validation']
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# Load Test set:
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test_set = sursilv['test']
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# Load no-rm-surmiran if the subset is not rm-surmiran
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no_surm = sursilv['no_surmiran']
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```
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## Citation
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```bibtex
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@misc{hopton-et-al-2025-mediomatix,
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title={The Mediomatix Corpus: Parallel Data for Romansh Idioms via Comparable Schoolbooks},
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author={Zachary Hopton and Jannis Vamvas and Andrin Büchler and Anna Rutkiewicz and Rico Cathomas and Rico Sennrich},
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year={2025},
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eprint={2508.16371},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2508.16371},
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}
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```
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© 2025 Meds d'instrucziun dal Grischun
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