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README.md
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---
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task_categories:
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- text-classification
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- text-generation
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- token-classification
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- feature-extraction
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- sentence-similarity
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language:
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- en
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tags:
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- nlp
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- parsing
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- grammar
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size_categories:
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- 1M<n<10M
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---
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# Sentence Parse Trees
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This dataset contains high-quality English sentences and their corresponding parse trees. It is derived from the [agentlans/high-quality-english-sentences](https://huggingface.co/datasets/agentlans/high-quality-english-sentences) dataset,
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with parse trees generated using [spaCy](https://spacy.io/) `en_core_web_sm` package. Abnormally long or short parses have been removed.
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## Dataset Description
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- **Size:** 1 502 479 entries
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- **Source:** [agentlans/high-quality-english-sentences](https://huggingface.co/datasets/agentlans/high-quality-english-sentences)
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- **Parsing Tool:** spaCy
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## Data Format
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Each entry in the dataset is a JSON object with two fields:
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1. `text`: The original sentence
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2. `parse`: The parse tree in Lisp-style S-expression format
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- Each list contains: syntactic dependency relation, the word, and the parse tree of its descendants
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- Words are enclosed in double quotes and escaped where necessary
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### Example Entry
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```json
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{
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"text": "At present, this mechanism has become one of the three major pillars underpinning the development of China-UK relations.",
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"parse": "(ROOT \"become\" (prep \"At\" (pobj \"present\")) (punct \",\") (nsubj \"mechanism\" (det \"this\")) (aux \"has\") (attr \"one\" (prep \"of\" (pobj \"pillars\" (det \"the\") (nummod \"three\") (amod \"major\") [...]"
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}
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```
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## Usage
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This dataset can be used for various natural language processing tasks, including:
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- Syntactic parsing research
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- Grammar analysis
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- Language model training
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- Linguistic studies
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## Licence
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Please refer to the license of the original [agentlans/high-quality-english-sentences](https://huggingface.co/datasets/agentlans/high-quality-english-sentences) dataset.
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