diff --git a/MANIFEST b/MANIFEST
index e69de29..3d908c5 100644
--- a/MANIFEST
+++ b/MANIFEST
@@ -0,0 +1,94 @@
+# file GENERATED by distutils, do NOT edit
+setup.cfg
+setup.py
+pyFTS/__init__.py
+pyFTS/benchmarks/Measures.py
+pyFTS/benchmarks/ResidualAnalysis.py
+pyFTS/benchmarks/Util.py
+pyFTS/benchmarks/__init__.py
+pyFTS/benchmarks/arima.py
+pyFTS/benchmarks/benchmarks.py
+pyFTS/benchmarks/distributed_benchmarks.py
+pyFTS/benchmarks/naive.py
+pyFTS/benchmarks/parallel_benchmarks.py
+pyFTS/benchmarks/quantreg.py
+pyFTS/common/Composite.py
+pyFTS/common/FLR.py
+pyFTS/common/FuzzySet.py
+pyFTS/common/Membership.py
+pyFTS/common/SortedCollection.py
+pyFTS/common/Transformations.py
+pyFTS/common/Util.py
+pyFTS/common/__init__.py
+pyFTS/common/flrg.py
+pyFTS/common/fts.py
+pyFTS/common/tree.py
+pyFTS/data/AirPassengers.py
+pyFTS/data/Enrollments.py
+pyFTS/data/INMET.py
+pyFTS/data/NASDAQ.py
+pyFTS/data/SONDA.py
+pyFTS/data/SP500.py
+pyFTS/data/TAIEX.py
+pyFTS/data/__init__.py
+pyFTS/data/artificial.py
+pyFTS/data/common.py
+pyFTS/data/sunspots.py
+pyFTS/models/__init__.py
+pyFTS/models/chen.py
+pyFTS/models/cheng.py
+pyFTS/models/hofts.py
+pyFTS/models/hwang.py
+pyFTS/models/ifts.py
+pyFTS/models/ismailefendi.py
+pyFTS/models/pwfts.py
+pyFTS/models/sadaei.py
+pyFTS/models/song.py
+pyFTS/models/yu.py
+pyFTS/models/ensemble/__init__.py
+pyFTS/models/ensemble/ensemble.py
+pyFTS/models/ensemble/multiseasonal.py
+pyFTS/models/multivariate/FLR.py
+pyFTS/models/multivariate/__init__.py
+pyFTS/models/multivariate/common.py
+pyFTS/models/multivariate/flrg.py
+pyFTS/models/multivariate/mvfts.py
+pyFTS/models/multivariate/variable.py
+pyFTS/models/nonstationary/__init__.py
+pyFTS/models/nonstationary/common.py
+pyFTS/models/nonstationary/cvfts.py
+pyFTS/models/nonstationary/flrg.py
+pyFTS/models/nonstationary/honsfts.py
+pyFTS/models/nonstationary/nsfts.py
+pyFTS/models/nonstationary/partitioners.py
+pyFTS/models/nonstationary/perturbation.py
+pyFTS/models/nonstationary/util.py
+pyFTS/models/seasonal/SeasonalIndexer.py
+pyFTS/models/seasonal/__init__.py
+pyFTS/models/seasonal/cmsfts.py
+pyFTS/models/seasonal/common.py
+pyFTS/models/seasonal/msfts.py
+pyFTS/models/seasonal/partitioner.py
+pyFTS/models/seasonal/sfts.py
+pyFTS/partitioners/CMeans.py
+pyFTS/partitioners/Entropy.py
+pyFTS/partitioners/FCM.py
+pyFTS/partitioners/Grid.py
+pyFTS/partitioners/Huarng.py
+pyFTS/partitioners/Util.py
+pyFTS/partitioners/__init__.py
+pyFTS/partitioners/parallel_util.py
+pyFTS/partitioners/partitioner.py
+pyFTS/probabilistic/ProbabilityDistribution.py
+pyFTS/probabilistic/__init__.py
+pyFTS/probabilistic/kde.py
+pyFTS/tests/__init__.py
+pyFTS/tests/cmsfts.py
+pyFTS/tests/distributed.py
+pyFTS/tests/ensemble.py
+pyFTS/tests/general.py
+pyFTS/tests/multivariate.py
+pyFTS/tests/nonstationary.py
+pyFTS/tests/pwfts.py
+pyFTS/tests/seasonal.py
+pyFTS/tests/sfts.py
diff --git a/pyFTS/data/AirPassengers.py b/pyFTS/data/AirPassengers.py
index 5300728..9c07281 100644
--- a/pyFTS/data/AirPassengers.py
+++ b/pyFTS/data/AirPassengers.py
@@ -1,10 +1,16 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import pkg_resources
 
 
 def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/AirPassengers.csv')
-    passengers = pd.read_csv(filename, sep=",")
-    passengers = np.array(passengers["Passengers"])
-    return passengers
+    dat = get_dataframe()
+    dat = np.array(dat["Passengers"])
+    return dat
+
+def get_dataframe():
+    dat = common.get_dataframe('data/AirPassengers.csv',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/AirPassengers.csv',
+                               sep=",")
+    return dat
+
diff --git a/pyFTS/data/Enrollments.py b/pyFTS/data/Enrollments.py
index af258bd..58f9955 100644
--- a/pyFTS/data/Enrollments.py
+++ b/pyFTS/data/Enrollments.py
@@ -1,11 +1,16 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
 
 
 def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/Enrollments.csv')
-    enrollments = pd.read_csv(filename, sep=";")
-    enrollments = np.array(enrollments["Enrollments"])
-    return enrollments
+    dat = get_dataframe()
+    dat = np.array(dat["Enrollments"])
+    return dat
+
+
+def get_dataframe():
+    dat = common.get_dataframe('data/Enrollments.csv',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/Enrollments.csv',
+                               sep=";")
+    return dat
diff --git a/pyFTS/data/INMET.py b/pyFTS/data/INMET.py
index 2c0fc72..5c07ad4 100644
--- a/pyFTS/data/INMET.py
+++ b/pyFTS/data/INMET.py
@@ -16,7 +16,10 @@
 from pyFTS.data import common
 import pandas as pd
 
+
 def get_dataframe():
-    dat = common.get_dataframe('data/INMET.csv.bz2',sep=";", compression='bz2')
+    dat = common.get_dataframe('data/INMET.csv.bz2',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/INMET.csv.bz2',
+                               sep=";", compression='bz2')
     dat["DataHora"] = pd.to_datetime(dat["DataHora"], format='%d/%m/%Y %H:%M')
     return dat
diff --git a/pyFTS/data/NASDAQ.py b/pyFTS/data/NASDAQ.py
index b2143ea..559259f 100644
--- a/pyFTS/data/NASDAQ.py
+++ b/pyFTS/data/NASDAQ.py
@@ -1,11 +1,17 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
 
 
-def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/NASDAQ.csv.bz2')
-    dat = pd.read_csv(filename, sep=";", compression='bz2')
-    dat = np.array(dat["avg"])
+def get_data(field):
+    dat = get_dataframe()
+    dat = np.array(dat[field])
     return dat
+
+
+def get_dataframe():
+    dat = common.get_dataframe('data/NASDAQ.csv.bz2',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/data/NASDAQ.csv.bz2',
+                               sep=";", compression='bz2')
+    return dat
+
diff --git a/pyFTS/data/SONDA.py b/pyFTS/data/SONDA.py
index 4aed7c4..546d9b7 100644
--- a/pyFTS/data/SONDA.py
+++ b/pyFTS/data/SONDA.py
@@ -1,18 +1,18 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
 
 
 def get_data(field):
-    filename = pkg_resources.resource_filename('pyFTS', 'data/SONDA_BSB.csv.bz2')
-    dat = pd.read_csv(filename, sep=";", compression='bz2')
+    dat = get_dataframe()
     dat = np.array(dat[field])
     return dat
 
 
 def get_dataframe():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/SONDA_BSB.csv.bz2')
-    dat = pd.read_csv(filename, sep=";", compression='bz2')
+    dat = common.get_dataframe('data/SONDA_BSB.csv.bz2',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/SONDA_BSB.csv.bz2',
+                               sep=";", compression='bz2')
     dat["datahora"] = pd.to_datetime(dat["datahora"], format='%Y-%m-%d %H:%M:%S')
     return dat
+
diff --git a/pyFTS/data/SP500.py b/pyFTS/data/SP500.py
index dc99fe7..9f888ad 100644
--- a/pyFTS/data/SP500.py
+++ b/pyFTS/data/SP500.py
@@ -1,11 +1,12 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
 
 
-def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/SP500.csv.bz2')
-    dat = pd.read_csv(filename, sep=",", compression='bz2')
+def get_dataframe():
+    dat = common.get_dataframe('data/SP500.csv.bz2',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/SP500.csv.bz2',
+                               sep=",", compression='bz2')
     dat = np.array(dat["Avg"])
     return dat
+
diff --git a/pyFTS/data/TAIEX.py b/pyFTS/data/TAIEX.py
index 58d8449..6d3bf38 100644
--- a/pyFTS/data/TAIEX.py
+++ b/pyFTS/data/TAIEX.py
@@ -1,18 +1,18 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
 
 
 def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/TAIEX.csv.bz2')
-    dat = pd.read_csv(filename, sep=",", compression='bz2')
+    dat = get_dataframe()
     dat = np.array(dat["avg"])
     return dat
 
 
 def get_dataframe():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/TAIEX.csv.bz2')
-    dat = pd.read_csv(filename, sep=",", compression='bz2')
+    dat = common.get_dataframe('data/TAIEX.csv.bz2',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/TAIEX.csv.bz2',
+                               sep=";", compression='bz2')
     dat["Date"] = pd.to_datetime(dat["Date"])
     return dat
+
diff --git a/pyFTS/data/sunspots.py b/pyFTS/data/sunspots.py
index 7f89917..6659793 100644
--- a/pyFTS/data/sunspots.py
+++ b/pyFTS/data/sunspots.py
@@ -1,11 +1,15 @@
+from pyFTS.data import common
 import pandas as pd
 import numpy as np
-import os
-import pkg_resources
-
 
 def get_data():
-    filename = pkg_resources.resource_filename('pyFTS', 'data/sunspots.csv')
-    dat = pd.read_csv(filename, sep=",")
+    dat = get_dataframe()
     dat = np.array(dat["SUNACTIVITY"])
     return dat
+
+def get_dataframe():
+    dat = common.get_dataframe('data/sunspots.csv',
+                               'https://github.com/petroniocandido/pyFTS/raw/8f20f3634aa6a8f58083bdcd1bbf93795e6ed767/pyFTS/data/sunspots.csv',
+                               sep=",")
+    return dat
+
diff --git a/pyFTS/tests/general.py b/pyFTS/tests/general.py
index 326580b..dc62f47 100644
--- a/pyFTS/tests/general.py
+++ b/pyFTS/tests/general.py
@@ -9,31 +9,6 @@ import numpy as np
 import pandas as pd
 from pyFTS.common import Transformations
 
-from pyFTS.benchmarks import benchmarks as bchmk
+from pyFTS.data import INMET
 
-bc = Transformations.BoxCox(0)
-diff = Transformations.Differential(1)
-#ix = SeasonalIndexer.LinearSeasonalIndexer([12, 24], [720, 1],[False, False])
-
-"""
-DATASETS
-"""
-
-from pyFTS.data import Enrollments
-
-data = Enrollments.get_data()
-
-from pyFTS.partitioners import Grid
-from pyFTS.models import song, chen, yu, sadaei, ismailefendi, cheng, hofts
-
-train = data
-test = data
-
-fs = Grid.GridPartitioner(train, 10) #, transformation=bc)
-
-#tmp = bchmk.simpleSearch_RMSE(train, test, hofts.HighOrderFTS, range(4,12), [2], tam=[10, 5])
-
-model = hofts.HighOrderFTS("", partitioner=fs)
-model.fit(train, order=3)
-
-print(model)
\ No newline at end of file
+print(INMET.get_dataframe())
diff --git a/setup.py b/setup.py
index 59560b3..64ed7d2 100644
--- a/setup.py
+++ b/setup.py
@@ -6,9 +6,9 @@ setup(
               'pyFTS.models', 'pyFTS.models.seasonal', 'pyFTS.partitioners', 'pyFTS.probabilistic',
               'pyFTS.tests', 'pyFTS.models.nonstationary', 'pyFTS.models.multivariate'],
     #package_dir={}
-    package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
+    #package_data={'pyFTS.data': ['*.csv','*.csv.bz2']},
     #data_files=[('data', ['pyFTS/data/Enrollments.csv', 'pyFTS/data/AirPassengers.csv'])],
-    include_package_data=True,
+    #include_package_data=True,
     version='1.2.3',
     description='Fuzzy Time Series for Python',
     author='Petronio Candido L. e Silva',
@@ -22,7 +22,7 @@ setup(
         'Programming Language :: Python :: 3.5',
         'Programming Language :: Python :: 3.6',
     ],
-    install_requires=[
-        'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
-    ]
+    #install_requires=[
+    #    'numpy','pandas','matplotlib','dill','copy','dispy','multiprocessing','joblib','statsmodels'
+    #]
 )