Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
Hebrew
Size:
n<1K
Tags:
License:
imvladikon
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Update README.md
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README.md
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task_ids:
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- language-modeling
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---
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# Dataset Card
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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### Dataset Summary
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The Knesset Meetings Corpus 2004-2005 is made up of two components:
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* Raw texts - 282 files made up of 867,725 lines together. These can be downloaded in two formats:
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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And only train set.
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```python
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train_ds = load_dataset("imvladikon/knesset_meetings_corpus", "kneset16", split="train")
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```
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### Data Instances
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An example of sample:
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```
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{
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"text": <text content of given document>,
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"path": <file path to docx>
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}
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```
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## Dataset Creation
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### Curation Rationale
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task_ids:
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- language-modeling
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---
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# Dataset Card
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- **Size of downloaded dataset files:**
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- **Size of the generated dataset:**
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- **Total amount of disk used:**
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### Dataset usage
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Available "kneset16","kneset17","knesset_tagged" configurations
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And only train set.
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```python
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train_ds = load_dataset("imvladikon/knesset_meetings_corpus", "kneset16", split="train")
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```
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### Data Instances
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An example of sample:
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```
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{
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"text": <text content of given document>,
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"path": <file path to docx>
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}
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```
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### Dataset Summary
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The Knesset Meetings Corpus 2004-2005 is made up of two components:
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* Raw texts - 282 files made up of 867,725 lines together. These can be downloaded in two formats:
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### Languages
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## Dataset Structure
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## Dataset Creation
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### Curation Rationale
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