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human_YAGO3_eval_tail.py
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prompts = []
labels = []
with open("data/YAGO3-10/YAGO3_tail_test_human.tsv", "r", encoding="utf-8") as f:
lines = f.readlines()
for line in lines:
tmp = line.strip().split("\t")
#print(tmp)
prompts.append(tmp[0])
labels.append(tmp[1])
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/pred_instructions_llama_link.csv", "r", encoding="utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(p)
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.rfind(",")
res = target_line[res_begin_idx + 1:]
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(res, label)
with open("data/YAGO3-10/pred_instructions_llama_link_100.csv", "w", encoding="utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-7B acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/pred_instructions_llama_link13B.csv", "r", encoding="utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(p)
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.rfind(",")
res = target_line[res_begin_idx + 1:]
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(res, label)
with open("data/YAGO3-10/pred_instructions_llama_link13B_100.csv", "w", encoding="utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-13B acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/pred_instructions_llama_link_raw.csv", "r", encoding= "utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
start_idx = target_line.find(prompts[i])
res = target_line[start_idx + len(prompts[i]):]
#print(res)
#print(label)
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(target_line, res, label)
with open("data/YAGO3-10/pred_instructions_llama_link_raw_100.csv", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-7B raw acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/pred_instructions_llama_raw13B.csv", "r", encoding= "utf-8") as f:
txt = f.read()
for (i, p) in enumerate(prompts):
begin_idx = txt.find(p)
end_idx = txt[begin_idx:].find("\n")
target_line = txt[begin_idx: begin_idx + end_idx]
#print(target_line)
lines_to_write.append(target_line + "\n")
start_idx = target_line.find(prompts[i])
res = target_line[start_idx + len(prompts[i]):]
#print(res)
#print(label)
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(target_line, res, label)
with open("data/YAGO3-10/pred_instructions_llama_link_raw13B_100.csv", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("LLaMA-13B raw acc: ", correct_count, 1.0 * correct_count/len(labels))
selected_ids = []
lines_to_write = []
with open("data/YAGO3-10/test_instructions_glm_merge.json", "r", encoding= "utf-8") as f:
lines = f.readlines()
for p in prompts:
for (idx, line) in enumerate(lines):
if line.find(p) != -1:
selected_ids.append(idx)
lines_to_write.append(line)
break
#print(selected_ids)
with open("data/YAGO3-10/test_instructions_glm_link_100.json", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/generated_predictions.txt", "r", encoding= "utf-8") as f:
lines = f.readlines()
selected_lines = [lines[x] for x in selected_ids]
for (i, target_line) in enumerate(selected_lines):
target_line = target_line.strip()
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("\"predict\": \"")
res = target_line[res_begin_idx + len("\"predict\": \""): -2]
#print(res)
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(line, res, label)
with open("data/YAGO3-10/generated_predictions_100.txt", "w", encoding= "utf-8") as f:
f.writelines(lines_to_write)
print("GLM acc: ", correct_count, 1.0 * correct_count/len(labels))
correct_count = 0
lines_to_write = []
with open("data/YAGO3-10/raw_generated_predictions_100.txt", "r", encoding= "utf-8") as f:
lines = f.readlines()
for (i, target_line) in enumerate(selected_lines):
target_line = target_line.strip()
#print(target_line)
lines_to_write.append(target_line + "\n")
res_begin_idx = target_line.find("\"predict\": \"")
res = target_line[res_begin_idx + len("\"predict\": \""): -2]
#print(res)
label = labels[i]
if res.find(label) != -1:
correct_count += 1
#print(line, res, label)
print("GLM raw acc: ", correct_count, 1.0 * correct_count/len(labels))