| import pandas as pd | |
| from datasets import load_dataset | |
| data = load_dataset("cardiffnlp/relentless") | |
| relation_types = [i['relation_type'] for i in data['test']] | |
| full_stats = [] | |
| for r in relation_types: | |
| size = [len([i for i in data[s] if i['relation_type'] == r][0]['pairs']) for s in ['validation', 'test']] | |
| x = [i for i in data['validation'] if i['relation_type'] == r][0] | |
| pairs = sorted(zip(x['pairs'], x['ranks']), key=lambda _x: _x[1]) | |
| top_pairs = [" / ".join(a) for a, _ in pairs[:2]] | |
| bottom_pairs = [" / ".join(a) for a, _ in pairs[:2]] | |
| middle_pairs = [" / ".join(a) for a, _ in pairs[int(len(pairs)/2)-1:int(len(pairs)/2) + 1]] | |
| full_stats += [{ | |
| "relation_type": r, | |
| "val.": size[0], | |
| "test": size[1], | |
| "top_pairs": t, | |
| "middle_pairs": m, | |
| "bottom_pairs": b} for t, m, b in zip(top_pairs, middle_pairs, bottom_pairs)] | |
| df = pd.DataFrame(full_stats) | |
| print(df[["relation_type", "val.", "test"]].to_markdown(index=False)) | |
| print(df.to_latex(index=False)) | |