Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
fact-checking
Languages:
Slovak
Size:
10K - 100K
License:
Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- README.md +100 -0
- data/test.jsonl +3 -0
- data/train.jsonl +3 -0
- data/validation.jsonl +3 -0
- dataset.yaml +10 -0
- dataset_infos.json +98 -0
.gitattributes
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@@ -57,3 +57,6 @@ saved_model/**/* 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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# 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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data/test.jsonl filter=lfs diff=lfs merge=lfs -text
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data/train.jsonl filter=lfs diff=lfs merge=lfs -text
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data/validation.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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language:
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- sk
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license: other
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multilinguality:
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- monolingual
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pretty_name: Demagog.sk Vyroky
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- fact-checking
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---
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# Demagog.sk Vyroky
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## Dataset Description
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Demagog.sk Vyroky is a collection of fact-checked political statements scraped from [Demagog.sk](https://demagog.sk/vyroky). Each record contains the original claim, the speaker, the fact-check verdict, and the supporting analysis written by the Demagog.sk editorial team.
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- **Total examples:** 20495
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- **Latest scrape timestamp:** 2025-10-16T21:00:22.850424+00:00
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### Supported Tasks
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- **Fact-checking / claim verification:** predict the fact-check verdict (`verdict`) given the statement and optional context.
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- **Evidence summarisation:** leverage the `analysis_text` to train models that generate or evaluate fact-check rationales.
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- **Speaker and stance profiling:** analyse claims by political actor or party using the `speaker` and `speaker_party` fields.
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### Languages
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- Slovak (`sk`)
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## Data Splits
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| Split | Examples |
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| --- | --- |
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| train | 12297 |
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| validation | 4099 |
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| test | 4099 |
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## Data Fields
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- `id`: string identifier (usually the trailing portion of the vyrok URL).
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- `numeric_id`: numeric ID when available.
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- `url`: canonical Demagog.sk URL for the fact-check.
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- `statement`: verbatim political statement under review.
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- `speaker`: full name of the speaker.
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- `speaker_party`: political affiliation displayed on Demagog.sk.
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- `speaker_url`: link to the speaker profile on Demagog.sk.
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- `statement_date`: ISO date when the claim was made (if available).
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- `verdict`: fact-check verdict label in Slovak (e.g., `Pravda`, `Nepravda`).
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- `analysis_text`: editorial commentary summarising the evidence.
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- `analysis_paragraphs`: list of paragraphs extracted from the commentary.
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- `analysis_sources`: list of cited sources (text + resolved URL).
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- `analysis_date`: ISO date when the analysis was published (if available).
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- `scraped_at`: ISO timestamp when this dataset snapshot was collected.
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## Data Source and Collection Process
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- Statements and annotations originate from Demagog.sk fact-check articles.
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- The dataset is gathered via the public site API combined with HTML parsing of individual statement pages.
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- Verdict labels and commentary are authored by Demagog.sk fact-checkers.
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## Considerations for Use
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- Fact-check labels follow Demagog.sk taxonomy; users may wish to map them to English equivalents or merge classes for specific tasks.
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- Commentary text is written in Slovak; downstream tasks may require translation for non-Slovak models.
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- Verify licensing and usage policies of Demagog.sk before redistributing or deploying models trained on this dataset.
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## Citation
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If you use this dataset, please cite Demagog.sk and reference this repository. An example citation:
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> Demagog.sk. *Factcheck politických diskusií.* https://demagog.sk
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("NaiveNeuron/DemagogSK", name="default")
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# For local files, replace the repo name with the path to this folder:
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# dataset = load_dataset("path/to/demagogsk_vyroky", name="default")
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train = dataset["train"]
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validation = dataset["validation"]
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test = dataset["test"]
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```
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## License
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The dataset inherits the terms of use of Demagog.sk. Confirm permissions for your intended use case before redistribution.
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data/test.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:365e0e5f14eb13eec0f4184ec7eb9fc682a54a0cab3de5aafb331832953fea6a
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size 13415750
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data/train.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b97a361e6e81ca9e419c39c9668466adc0c13b2e9f3415df3b8af5b6c5ee3b49
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size 39581607
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data/validation.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:11c54d8ba29f4582c5410e3df8ae1b29716161ad5e68915df9228225fbca4103
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size 13255426
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dataset.yaml
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configs:
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- config_name: default
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data_files:
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train:
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- data/train.jsonl
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validation:
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- data/validation.jsonl
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test:
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- data/test.jsonl
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description: Default configuration with JSONL splits.
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dataset_infos.json
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{
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"demagogsk_vyroky": {
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"description": "Fact-checked political statements scraped from Demagog.sk.",
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"citation": "",
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"homepage": "https://demagog.sk/vyroky",
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"license": "",
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"features": {
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"id": {
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"dtype": "string",
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"_type": "Value"
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},
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"numeric_id": {
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"dtype": "int64",
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"_type": "Value"
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},
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"url": {
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"dtype": "string",
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| 18 |
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"_type": "Value"
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| 19 |
+
},
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"speaker": {
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| 21 |
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"dtype": "string",
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| 22 |
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"_type": "Value"
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},
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| 24 |
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"speaker_party": {
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| 25 |
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"dtype": "string",
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| 26 |
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"_type": "Value"
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| 27 |
+
},
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| 28 |
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"speaker_url": {
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| 29 |
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"dtype": "string",
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| 30 |
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"_type": "Value"
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| 31 |
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},
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"statement": {
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| 33 |
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"dtype": "string",
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"_type": "Value"
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},
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| 36 |
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"statement_date": {
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"dtype": "string",
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| 38 |
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"_type": "Value"
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| 39 |
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},
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"verdict": {
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"dtype": "string",
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"_type": "Value"
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},
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"analysis_text": {
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"dtype": "string",
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| 46 |
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"_type": "Value"
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},
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"analysis_paragraphs": {
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| 49 |
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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| 53 |
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"_type": "Sequence"
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},
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"analysis_date": {
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"dtype": "string",
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"_type": "Value"
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},
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| 59 |
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"analysis_sources": {
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| 60 |
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"feature": {
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"text": {
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"dtype": "string",
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"_type": "Value"
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},
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"url": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"_type": "Sequence"
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},
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"scraped_at": {
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"dtype": "string",
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| 74 |
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"_type": "Value"
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}
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},
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| 77 |
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"splits": {
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"test": {
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"name": "test",
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"num_bytes": 13415750,
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"num_examples": 4099
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},
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"validation": {
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"name": "validation",
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"num_bytes": 13255426,
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"num_examples": 4099
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},
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"train": {
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"name": "train",
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| 90 |
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"num_bytes": 39581607,
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| 91 |
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"num_examples": 12297
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}
|
| 93 |
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},
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"download_size": 66252783,
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"dataset_size": 66252783,
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"task_templates": null
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}
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| 98 |
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}
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