Add tiny sample data.

sample_data/tiny.in

@@ -0,0 +1,36 @@
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c

sample_data/tiny.out

@@ -0,0 +1,36 @@
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1a 2a 3a 4a 5a 6a
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1b 2b 3b 4b 5b 6b 7b 8b
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c
+1c 2c 3c 4c 5c 6c 7c 8c 9c 10c

sample_data/tiny_config.ini

@@ -0,0 +1,29 @@
+[Corpus]
+train_source=sample_data/tiny.in
+train_target=sample_data/tiny.out
+dev_source=sample_data/tiny.in
+dev_target=sample_data/tiny.out
+test_source=sample_data/tiny.in
+test_target=sample_data/tiny.out
+
+[Model]
+rnn_cell=lstm
+source_vocabulary=32
+target_vocabulary=32
+embedding=64
+rnn_hidden=64
+encoder_type=bidirectional
+decoder_type=forward
+attention_type=mlp
+attention_hidden=64
+
+[Train]
+adam_alpha=0.001
+adam_beta1=0.9
+adam_beta2=0.999
+adam_eps=1e-8
+max_length=64
+num_words_in_batch=2048
+max_iteration=10000
+evaluation_interval=100
+random_seed=12345