Add a cleaned version of the original dataset, with morphological tags removed, leaving only the plain text
Browse files- .gitattributes +2 -0
- README.md +148 -0
- corpus_et_clean.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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corpus_et.jsonl filter=lfs diff=lfs merge=lfs -text
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corpus_et_clean.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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# Estonian National Corpus 2021: Morphologically Tagged and Clean Text
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## Dataset Summary
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This repository contains two versions of the **Estonian National Corpus 2021**, representing around **43GB of data** and **millions of sentences** annotated with **morphological features**. This corpus is designed to be useful for:
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- **Morphological analysis**.
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- **Natural language understanding** for **Estonian**.
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Both files in this dataset originate from the **Estonian National Corpus (ENC) 2021** and have been processed for different use cases:
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1. **`corpus_et.jsonl`**: Contains **morphologically tagged text** where each word is annotated with its base lemma and morphological features (e.g., case, number, tense).
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2. **`corpus_et_clean.jsonl`**: A **cleaned version** of the original dataset, with **morphological tags removed**, leaving only the plain text.
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These datasets can be used for fine-tuning **language models** or studying **morphological patterns** and **syntactic structures** in the Estonian language.
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---
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## Files in This Dataset:
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- **`corpus_et.jsonl`**: This file contains text with **morphological annotations**, where each word is followed by a tag indicating its grammatical properties (e.g., `Vabadus_vabadus-s`).
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The fields in this file are as follows:
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- **`text`** (string): A sentence where each word is attached to its morphological tag. Example:
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```json
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{"text": "Vabadus_vabadus-s millest_mis-p ilmselt_ilmselt-d ei_ei-v."}
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```
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- **`corpus_et_clean.jsonl`**: This file contains the **same sentences** as `corpus_et.jsonl` but with the **morphological tags stripped**. It is clean text suitable for general **language fine-tuning**, without the added complexity of morph tags.
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The fields in this file are as follows:
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- **`text`** (string): A plain-text sentence, with the same meaning as the original tagged version. Example:
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```json
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{"text": "Vabadus millest ilmselt ei."}
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```
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---
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## Dataset Structure
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- Both datasets are in JSONL (newline-delimited JSON) format.
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- The datasets do not contain explicit **train/validation splits**, meaning users can split them according to their needs.
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- Each line is a JSON object consisting of the `"text"` field for the sentence.
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---
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## Use Cases
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This dataset is highly versatile and could be used in multiple **natural language processing (NLP) tasks**, such as:
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1. **Tagging and Morphological Parsing**: Use the **tagged version** (`corpus_et.jsonl`) to train models that focus on **morphological understanding** or performing **syntax parsing** for Estonian.
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2. **General Language Modeling**: Use the **cleaned version** (`corpus_et_clean.jsonl`) to train **general-purpose Estonian language models** for tasks like **text generation** or **machine translation**.
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3. **Inflection Modeling**: The tagged data can also serve as a training set for **inflection generation models** that learn to correctly inflect Estonian words based on grammatical context.
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---
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## Dataset Statistics
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The dataset has the following statistics (for both `corpus_et.jsonl` and `corpus_et_clean.jsonl`):
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- **Total size**: ~43GB
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- **Sentences**: Approx. **196 million** sentences
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- **Words**: Approx. **2.4 billion** words
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- **Documents**: Approx. **11.7 million** documents
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- **Paragraphs**: Approx. **64.5 million** paragraphs
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---
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## Examples
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### Example from `corpus_et.jsonl` (Tagged Text):
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```json
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{
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"text": "Vabadus_vabadus-s millest_mis-p ilmselt_ilmselt-d ei_ei-v."
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}
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```
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### Example from `corpus_et_clean.jsonl` (Clean Text):
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```json
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{
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"text": "Vabadus millest ilmselt ei."
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}
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```
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---
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## Dataset Creation
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The dataset was derived from the **Estonian National Corpus 2021** and processed into these two versions:
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1. **Tagged JSONL** (`corpus_et.jsonl`): This version contains **morphologically annotated text** based on the original corpus.
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2. **Clean JSONL** (`corpus_et_clean.jsonl`): This version contains the same text but without the **morphological tags**—resulting in clean, plain-text sentences.
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---
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## License
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This dataset is made available under the **Creative Commons Attribution License (CC-BY)**, allowing free use and sharing with proper attribution to the authors listed below.
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---
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## Citation
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If you use this dataset, please cite the authors of the original **Estonian National Corpus 2021**:
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```plaintext
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Koppel, Kristina; Kallas, Jelena (2022). Eesti keele ühendkorpus 2021. DOI: 10.15155/3-00-0000-0000-0000-08E60L
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```
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Please also give credit to this dataset repository when used in a project:
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```plaintext
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@dataset{siimh_estonian_corpus_2021,
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author = {Siim Haugas},
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title = {Estonian National Corpus 2021: Tagged and Cleaned Versions},
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year = {2023},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/siimh/estonian_corpus_2021}
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}
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```
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---
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## Contact
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For any inquiries regarding this dataset or data processing, feel free to contact:
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- **Siim Haugas**
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- Hugging Face profile: [https://huggingface.co/siimh](https://huggingface.co/siimh)
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---
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## How to Load the Dataset
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You can load the dataset directly from Hugging Face with the **datasets** library.
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### For the Tagged Version (`corpus_et.jsonl`):
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```python
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from datasets import load_dataset
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# Load the tagged dataset
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dataset = load_dataset("siimh/estonian_corpus_2021", data_files="corpus_et.jsonl")
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```
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### For the Cleaned Version (`corpus_et_clean.jsonl`):
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```python
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from datasets import load_dataset
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# Load the clean dataset
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dataset = load_dataset("siimh/estonian_corpus_2021", data_files="corpus_et_clean.jsonl")
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```
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---
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### Conclusion
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This dataset is a powerful resource for fine-tuning Estonian-language models, improving **morphological awareness**, and supporting natural language processing tasks. Whether you're training a **language model**, working on **syntactic parsing**, or preparing for a Estonian **chatbot**, this dataset will provide excellent material for various NLP tasks.
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corpus_et_clean.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1120cb8793e8489ba0240a5c31c4a504694757180c35ca01b6e0eef0c53ffd4
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size 20710737846
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