| import json |
| from sentence_transformers import SentenceTransformer |
| from tqdm import tqdm |
|
|
| model = SentenceTransformer('thenlper/gte-large') |
|
|
| embed = lambda text: model.encode(text).tolist() |
|
|
| def parse_data(file_path): |
| papers = [] |
| with open(file_path, 'r') as file: |
| paper = {} |
| for line in tqdm(file, desc="Parsing data"): |
| if line.startswith('#*'): |
| paper['title'] = line[2:].strip() |
| elif line.startswith('#@'): |
| paper['authors'] = line[2:].strip().split(',') |
| elif line.startswith('#t'): |
| paper['year'] = int(line[2:].strip()) |
| elif line.startswith('#c'): |
| paper['venue'] = line[2:].strip() |
| elif line.startswith('#index'): |
| paper['index'] = int(line[6:].strip()) |
| elif line.startswith('#%'): |
| if 'references' not in paper: |
| paper['references'] = [] |
| paper['references'].append(int(line[2:].strip())) |
| elif line.startswith('#!'): |
| paper['abstract'] = line[2:].strip() |
| paper['embedding'] = embed(line[2:].strip()) |
| if 'references' not in paper: paper['references'] = [] |
| papers.append(paper) |
| paper = {} |
| elif line.strip() == '': |
| continue |
| return papers |
|
|
| file_path = '/home/ppxscal/Projects/kellis/neuralmaps/papers.txt' |
| papers = parse_data(file_path) |
|
|
| with open('papers.json', 'w') as json_file: |
| json.dump(papers, json_file) |
|
|
| with open('papers_formatted.json', 'w') as json_file: |
| json.dump(papers, json_file, indent=1) |
