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data_loader.py
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data_loader.py
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import random
import numpy as np
class DataLoader(object):
def __init__(self, dataset, parameter, step='train'):
self.curr_rel_idx = 0
self.tasks = dataset[step + '_tasks']
self.rel2candidates = dataset['rel2candidates']
self.e1rel_e2 = dataset['e1rel_e2']
self.all_rels = sorted(list(self.tasks.keys()))
self.num_rels = len(self.all_rels)
self.few = parameter['few']
self.bs = parameter['batch_size']
self.nq = parameter['num_query']
self.all_ents = list(dataset['ent2id'].keys())
if step != 'train':
self.eval_triples = []
for rel in self.all_rels:
self.eval_triples.extend(self.tasks[rel][self.few:])
self.num_tris = len(self.eval_triples)
self.curr_tri_idx = 0
def next_one(self):
# shift curr_rel_idx to 0 after one circle of all relations
if self.curr_rel_idx % self.num_rels == 0:
random.shuffle(self.all_rels)
self.curr_rel_idx = 0
# get current relation and current candidates
curr_rel = self.all_rels[self.curr_rel_idx]
self.curr_rel_idx = (self.curr_rel_idx + 1) % self.num_rels # shift current relation idx to next
curr_cand = self.rel2candidates[curr_rel]
while len(curr_cand) <= 10 or len(self.tasks[curr_rel]) <= 10: # ignore the small task sets
curr_rel = self.all_rels[self.curr_rel_idx]
self.curr_rel_idx = (self.curr_rel_idx + 1) % self.num_rels
curr_cand = self.rel2candidates[curr_rel]
# get current tasks by curr_rel from all tasks and shuffle it
curr_tasks = self.tasks[curr_rel]
curr_tasks_idx = np.arange(0, len(curr_tasks), 1)
curr_tasks_idx = np.random.choice(curr_tasks_idx, self.few + self.nq)
support_triples = [curr_tasks[i] for i in curr_tasks_idx[:self.few]]
query_triples = [curr_tasks[i] for i in curr_tasks_idx[self.few:]]
# construct support and query negative triples
support_negative_triples = []
for triple in support_triples:
e1, rel, e2 = triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
if len(dis_joint) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
negative = random.choice(dis_joint)
support_negative_triples.append([e1, rel, negative])
negative_triples = []
for triple in query_triples:
e1, rel, e2 = triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
if len(dis_joint) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
negative = random.choice(dis_joint)
negative_triples.append([e1, rel, negative])
return support_triples, support_negative_triples, query_triples, negative_triples, curr_rel
def next_batch(self):
next_batch_all = [self.next_one() for _ in range(self.bs)]
support, support_negative, query, negative, curr_rel = zip(*next_batch_all)
return [support, support_negative, query, negative], curr_rel
def next_one_on_eval(self):
if self.curr_tri_idx == self.num_tris:
return "EOT", "EOT"
# get current triple
query_triple = self.eval_triples[self.curr_tri_idx]
self.curr_tri_idx += 1
curr_rel = query_triple[1]
curr_cand = self.rel2candidates[curr_rel]
curr_task = self.tasks[curr_rel]
# get support triples
support_triples = curr_task[:self.few]
# construct support negative
support_negative_triples = []
shift = 0
for triple in support_triples:
e1, rel, e2 = triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
if len(dis_joint) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
negative = random.choice(dis_joint)
support_negative_triples.append([e1, rel, negative])
# construct negative triples
negative_triples = []
e1, rel, e2 = query_triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
if len(dis_joint) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
dis_joint = random.sample(dis_joint, 10)
for negative in dis_joint:
negative_triples.append([e1, rel, negative])
support_triples = [support_triples]
support_negative_triples = [support_negative_triples]
query_triple = [[query_triple]]
negative_triples = [negative_triples]
return [support_triples, support_negative_triples, query_triple, negative_triples], curr_rel
def next_one_on_eval_by_relation(self, curr_rel):
if self.curr_tri_idx == len(self.tasks[curr_rel][self.few:]):
self.curr_tri_idx = 0
return "EOT", "EOT"
# get current triple
query_triple = self.tasks[curr_rel][self.few:][self.curr_tri_idx]
self.curr_tri_idx += 1
# curr_rel = query_triple[1]
curr_cand = self.rel2candidates[curr_rel]
curr_task = self.tasks[curr_rel]
# get support triples
support_triples = curr_task[:self.few]
# construct support negative
support_negative_triples = []
shift = 0
for triple in support_triples:
e1, rel, e2 = triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
if len(dis_joint) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
negative = random.choice(dis_joint)
support_negative_triples.append([e1, rel, negative])
# construct negative triples
negative_triples = []
e1, rel, e2 = query_triple
dis_joint = list(set(curr_cand).difference(self.e1rel_e2[e1 + rel] + [e2]))
for negative in dis_joint:
negative_triples.append([e1, rel, negative])
if len(negative_triples) == 0:
dis_joint = list(set(self.all_ents).difference(self.e1rel_e2[e1 + rel] + [e2]))
negative_triples = random.sample(dis_joint, 10)
support_triples = [support_triples]
support_negative_triples = [support_negative_triples]
query_triple = [[query_triple]]
negative_triples = [negative_triples]
return [support_triples, support_negative_triples, query_triple, negative_triples], curr_rel