add field descriptions and loading instructions to readme
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README.md
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**[View our methodology](https://labs.climatepolicyradar.org/global-stocktake/)**.
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## Citing this data
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```
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@misc{Climate Policy Radar, title={Dataset for the first Global Stocktake}, url={http://gst1.org/}, author={Climate Policy Radar}}
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```
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##
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- `author`: document author (str)
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- `author_is_party`: whether the author is a Party (national government) or not (bool)
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- `document_source_url`: URL for document
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- `document_variant`: used to identify translations. In `[nan, 'Translation', 'Original Language']`
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- `has_valid_text`: our heuristic about whether text is valid or not in the document based on the parser
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- `language`:
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- `languages`: **FIXME**
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- `link`: **FIXME**
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- `page_number`: page number of text block (0-indexed)
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- `text`: text in text block
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- `text_block_id`: identifier for a text block which is unique per document
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- `translated`: whether we have machine-translated the document to English. Where we have translated documents, both the original and translated exist.
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- `type`:
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- `type_confidence`: confidence from
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- `types`: document types
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- `version`: in `['MAIN', 'ANNEX', 'SUMMARY', 'AMENDMENT', 'SUPPORTING DOCUMENTATION', 'PREVIOUS VERSION']`
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## Known issues
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* Author names are sometimes corrupted
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## Usage in Python
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**[View our methodology](https://labs.climatepolicyradar.org/global-stocktake/)**.
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**Contents**
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- [Citing this data](#citing-this-data)
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- [Fields](#fields)
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- [Known issues](#known-issues)
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- [Usage in Python](#usage-in-python)
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- [Loading metadata CSV](#loading-metadata-csv)
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- [Loading text block data](#loading-text-block-data)
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---
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## Citing this data
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```
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@misc{Climate Policy Radar, title={Dataset for the first Global Stocktake}, url={http://gst1.org/}, author={Climate Policy Radar}}
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```
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## Field descriptions
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- `author`: document author (str)
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- `author_is_party`: whether the author is a Party (national government) or not (bool)
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- `document_source_url`: URL for document
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- `document_variant`: used to identify translations. In `[nan, 'Translation', 'Original Language']`
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- `has_valid_text`: our heuristic about whether text is valid or not in the document based on the parser
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- `language`: language of the text block. Either `en` or `nan` - see known issues
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- `page_number`: page number of text block (0-indexed)
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- `text`: text in text block
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- `text_block_id`: identifier for a text block which is unique per document
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- `translated`: whether we have machine-translated the document to English. Where we have translated documents, both the original and translated exist.
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- `type`: type of text block. In `["Text", "Title", "List", "Table", "Figure","Ambiguous"]`
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- `type_confidence`: confidence from that the text block is of the labelled type
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- `types`: list of document types e.g. Nationally Determined Contribution, National Adaptation Plan (list[str])
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- `version`: in `['MAIN', 'ANNEX', 'SUMMARY', 'AMENDMENT', 'SUPPORTING DOCUMENTATION', 'PREVIOUS VERSION']`
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## Known issues
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* Author names are sometimes corrupted
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## Usage in Python
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### Loading metadata CSV
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``` py
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metadata = pd.read_csv("metadata.csv")
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```
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### Loading text block data
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**The parquet file is recommended** as it stores the data much more (10x) more efficiently, meaning lower load on your system's memory requirements.
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``` py
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# Reading from parquet
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text_blocks = pd.read_parquet("full_text.parquet")
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# Reading from jsonl
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text_blocks = pd.read_json("full_text.jsonl", lines=True)
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```
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