diff --git a/code/__pycache__/options.cpython-38.pyc b/code/__pycache__/options.cpython-38.pyc
index 4d1f890..30090ec 100644
Binary files a/code/__pycache__/options.cpython-38.pyc and b/code/__pycache__/options.cpython-38.pyc differ
diff --git a/configs/nell.sh b/configs/nell.sh
index 43398fa..45dc1b7 100644
--- a/configs/nell.sh
+++ b/configs/nell.sh
@@ -2,7 +2,7 @@
 
 data_input_dir="datasets/data_preprocessed/nell/"
 vocab_dir="datasets/data_preprocessed/nell/vocab"
-total_iterations=3000
+total_iterations=10000
 path_length=3
 hidden_size=50
 embedding_size=50
diff --git a/datasets/data_preprocessed/nell/entity2clusterid.txt b/datasets/data_preprocessed/nell/entity2clusterid.txt
index 2c6d9f5..2e941e7 100644
--- a/datasets/data_preprocessed/nell/entity2clusterid.txt
+++ b/datasets/data_preprocessed/nell/entity2clusterid.txt
@@ -1,75492 +1,75492 @@
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diff --git a/datasets/data_preprocessed/nell/vocab/cluster_relation_vocab.json b/datasets/data_preprocessed/nell/vocab/cluster_relation_vocab.json
index 0ef8d6b..bce7409 100644
--- a/datasets/data_preprocessed/nell/vocab/cluster_relation_vocab.json
+++ b/datasets/data_preprocessed/nell/vocab/cluster_relation_vocab.json
@@ -1 +1 @@
-{"PAD": 0, "DUMMY_START_RELATION": 1, "UNK": 2, "42_30": 3, "5_27": 4, "6_27": 5, "22_26": 6, "51_51": 7, "49_35": 8, "38_40": 9, "8_6": 10, "6_6": 11, "33_35": 12, "7_7": 13, "44_8": 14, "38_34": 15, "8_33": 16, "35_35": 17, "33_33": 18, "4_35": 19, "6_34": 20, "15_15": 21, "49_41": 22, "50_19": 23, "8_8": 24, "9_9": 25, "38_11": 26, "34_4": 27, "8_16": 28, "39_39": 29, "32_32": 30, "23_23": 31, "38_32": 32, "3_38": 33, "27_12": 34, "34_23": 35, "3_5": 36, "37_37": 37, "2_36": 38, "25_25": 39, "20_22": 40, "2_41": 41, "31_6": 42, "27_24": 43, "21_21": 44, "11_9": 45, "26_18": 46, "38_35": 47, "5_28": 48, "29_38": 49, "29_7": 50, "19_15": 51, "28_28": 52, "24_24": 53, "34_41": 54, "24_23": 55, "38_41": 56, "41_2": 57, "42_4": 58, "30_42": 59, "33_13": 60, "39_38": 61, "35_44": 62, "19_33": 63, "34_35": 64, "50_50": 65, "5_5": 66, "32_8": 67, "2_2": 68, "8_38": 69, "33_42": 70, "29_28": 71, "44_35": 72, "34_34": 73, "20_18": 74, "23_35": 75, "18_26": 76, "38_38": 77, "8_32": 78, 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\ No newline at end of file
diff --git a/datasets/data_preprocessed/nell/vocab/cluster_vocab.json b/datasets/data_preprocessed/nell/vocab/cluster_vocab.json
index 83a553a..81bdc0c 100644
--- a/datasets/data_preprocessed/nell/vocab/cluster_vocab.json
+++ b/datasets/data_preprocessed/nell/vocab/cluster_vocab.json
@@ -1 +1 @@
-{"PAD": 0, "UNK": 1, "0": 2, "1": 3, "2": 4, "3": 5, "4": 6, "5": 7, "6": 8, "7": 9, "8": 10, "9": 11, "10": 12, "11": 13, "12": 14, "13": 15, "14": 16, "15": 17, "16": 18, "17": 19, "18": 20, "19": 21, "20": 22, "21": 23, "22": 24, "23": 25, "24": 26, "25": 27, "26": 28, "27": 29, "28": 30, "29": 31, "30": 32, "31": 33, "32": 34, "33": 35, "34": 36, "35": 37, "36": 38, "37": 39, "38": 40, "39": 41, "40": 42, "41": 43, "42": 44, "43": 45, "44": 46, "45": 47, "46": 48, "47": 49, "48": 50, "49": 51}
\ No newline at end of file
+{"PAD": 0, "UNK": 1, "0": 2, "1": 3, "2": 4, "3": 5, "4": 6, "5": 7, "6": 8, "7": 9, "8": 10, "9": 11, "10": 12, "11": 13, "12": 14, "13": 15, "14": 16, "15": 17, "16": 18, "17": 19, "18": 20, "19": 21, "20": 22, "21": 23, "22": 24, "23": 25, "24": 26, "25": 27, "26": 28, "27": 29, "28": 30, "29": 31, "30": 32, "31": 33, "32": 34, "33": 35, "34": 36, "35": 37, "36": 38, "37": 39, "38": 40, "39": 41, "40": 42, "41": 43, "42": 44, "43": 45, "44": 46, "45": 47, "46": 48, "47": 49, "48": 50, "49": 51, "50": 52, "51": 53, "52": 54, "53": 55, "54": 56}
\ No newline at end of file
diff --git a/datasets/data_preprocessed/nell/vocab/entity_id_to_cluster_mappping.json b/datasets/data_preprocessed/nell/vocab/entity_id_to_cluster_mappping.json
index bf01cc1..b1433b1 100644
--- a/datasets/data_preprocessed/nell/vocab/entity_id_to_cluster_mappping.json
+++ b/datasets/data_preprocessed/nell/vocab/entity_id_to_cluster_mappping.json
@@ -1 +1 @@
-{"2": 42, "3": 30, "4": 5, "5": 27, "6": 6, "7": 27, "8": 22, "9": 26, "10": 51, "11": 51, "12": 49, "13": 35, "14": 38, "15": 40, "16": 8, "17": 6, "18": 6, "19": 33, "20": 35, "21": 7, "22": 7, "23": 44, "24": 8, "25": 38, "26": 34, "27": 8, "28": 33, "29": 35, "30": 35, "31": 33, "32": 33, "33": 4, "34": 35, "35": 6, "36": 34, "37": 15, "38": 15, "39": 49, "40": 41, "41": 50, "42": 19, "43": 8, "44": 8, "45": 15, "46": 15, "47": 35, "48": 35, "49": 9, "50": 9, "51": 38, "52": 11, "53": 34, "54": 4, "55": 16, "56": 39, "57": 39, "58": 32, "59": 32, "60": 23, "61": 23, "62": 38, "63": 32, "64": 3, "65": 38, "66": 27, "67": 12, "68": 51, "69": 51, "70": 34, "71": 23, "72": 3, "73": 5, "74": 37, "75": 37, "76": 2, "77": 36, "78": 25, "79": 25, "80": 20, "81": 22, "82": 2, "83": 41, "84": 31, "85": 6, "86": 27, "87": 24, "88": 21, "89": 21, "90": 11, "91": 9, "92": 26, "93": 18, "94": 38, "95": 35, "96": 5, "97": 28, "98": 42, "99": 30, "100": 29, "101": 38, "102": 26, "103": 18, "104": 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\ No newline at end of file
diff --git a/preprocessing.py b/preprocessing.py
new file mode 100644
index 0000000..54b2119
--- /dev/null
+++ b/preprocessing.py
@@ -0,0 +1,46 @@
+def K_means_clustering(K, dataPath='../FB15k-237/', entity2idPath='entity2id.txt', relation2idPath='relation2id.txt',
+					   pretrainedEmbPath='entity2vec.bern', graphPath='graph.txt'):
+	# read entity IDs
+	entity2idPath = os.path.join(dataPath, entity2idPath)
+
+	with open(entity2idPath, "r") as f:
+		entity2id = {}
+		for line in f:
+			entity, eid = line.split()
+			entity2id[entity] = int(eid)
+
+	# read relation IDs
+	relation2idPath = os.path.join(dataPath, relation2idPath)
+
+	with open(relation2idPath, "r") as f:
+		relation2id = {}
+		for line in f:
+			relation, rid = line.split()
+			relation2id[relation] = int(rid)
+
+	# read entity embeddings
+	pretrained_emb_file = os.path.join(dataPath, pretrainedEmbPath)
+
+	entity2emb = []
+	with open(pretrained_emb_file, "r") as f:
+		for line in f:
+			entity2emb.append([float(value) for value in line.split()])
+
+	# entity2emb = np.load(pretrained_emb_file)
+	# entity2emb = list(entity2emb)
+
+	# K Means CLustering
+	kmeans_entity = KMeans(n_clusters=K, random_state=0).fit(entity2emb)
+
+	# assign cluster label to entities
+	entity2cluster = {}
+
+	for idx, label in enumerate(kmeans_entity.labels_):
+		entity2cluster[idx] = int(label)
+
+	# print(entity2cluster)
+
+	ent2clusterFile = os.path.join(dataPath, 'entity2clusterid.txt')
+	with open(ent2clusterFile, 'w') as f:
+		for ent in entity2cluster.keys():
+			f.write(str(ent) + '\t' + str(entity2cluster[ent]) + '\n')
\ No newline at end of file