albertvillanova HF staff commited on
Commit
aeb8eee
1 Parent(s): 235318b

Replace unused config record by url

Browse files
Files changed (1) hide show
  1. monash_tsf.py +33 -33
monash_tsf.py CHANGED
@@ -54,7 +54,7 @@ class MonashTSFBuilderConfig(datasets.BuilderConfig):
54
  """MonashTSF builder config with some added meta data."""
55
 
56
  file_name: Optional[str] = None
57
- record: Optional[str] = None
58
  prediction_length: Optional[int] = None
59
  item_id_column: Optional[str] = None
60
  data_column: Optional[str] = None
@@ -76,7 +76,7 @@ class MonashTSF(datasets.GeneratorBasedBuilder):
76
  name="weather",
77
  version=VERSION,
78
  description="3010 daily time series representing the variations of four weather variables: rain, mintemp, maxtemp and solar radiation, measured at the weather stations in Australia.",
79
- record="4654822",
80
  file_name="weather_dataset.zip",
81
  data_column="series_type",
82
  ),
@@ -84,203 +84,203 @@ class MonashTSF(datasets.GeneratorBasedBuilder):
84
  name="tourism_yearly",
85
  version=VERSION,
86
  description="This dataset contains 518 yearly time series used in the Kaggle Tourism forecasting competition.",
87
- record="4656103",
88
  file_name="tourism_yearly_dataset.zip",
89
  ),
90
  MonashTSFBuilderConfig(
91
  name="tourism_quarterly",
92
  version=VERSION,
93
  description="This dataset contains 427 quarterly time series used in the Kaggle Tourism forecasting competition.",
94
- record="4656093",
95
  file_name="tourism_quarterly_dataset.zip",
96
  ),
97
  MonashTSFBuilderConfig(
98
  name="tourism_monthly",
99
  version=VERSION,
100
  description="This dataset contains 366 monthly time series used in the Kaggle Tourism forecasting competition.",
101
- record="4656096",
102
  file_name="tourism_monthly_dataset.zip",
103
  ),
104
  MonashTSFBuilderConfig(
105
  name="cif_2016",
106
  version=VERSION,
107
  description="72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition.",
108
- record="4656042",
109
  file_name="cif_2016_dataset.zip",
110
  ),
111
  MonashTSFBuilderConfig(
112
  name="london_smart_meters",
113
  version=VERSION,
114
  description="5560 half hourly time series that represent the energy consumption readings of London households in kilowatt hour (kWh) from November 2011 to February 2014.",
115
- record="4656072",
116
  file_name="london_smart_meters_dataset_with_missing_values.zip",
117
  ),
118
  MonashTSFBuilderConfig(
119
  name="australian_electricity_demand",
120
  version=VERSION,
121
  description="5 time series representing the half hourly electricity demand of 5 states in Australia: Victoria, New South Wales, Queensland, Tasmania and South Australia.",
122
- record="4659727",
123
  file_name="australian_electricity_demand_dataset.zip",
124
  ),
125
  MonashTSFBuilderConfig(
126
  name="wind_farms_minutely",
127
  version=VERSION,
128
  description="Minutely time series representing the wind power production of 339 wind farms in Australia.",
129
- record="4654909",
130
  file_name="wind_farms_minutely_dataset_with_missing_values.zip",
131
  ),
132
  MonashTSFBuilderConfig(
133
  name="bitcoin",
134
  version=VERSION,
135
  description="18 daily time series including hash rate, block size, mining difficulty etc. as well as public opinion in the form of tweets and google searches mentioning the keyword bitcoin as potential influencer of the bitcoin price.",
136
- record="5121965",
137
  file_name="bitcoin_dataset_with_missing_values.zip",
138
  ),
139
  MonashTSFBuilderConfig(
140
  name="pedestrian_counts",
141
  version=VERSION,
142
  description="Hourly pedestrian counts captured from 66 sensors in Melbourne city starting from May 2009.",
143
- record="4656626",
144
  file_name="pedestrian_counts_dataset.zip",
145
  ),
146
  MonashTSFBuilderConfig(
147
  name="vehicle_trips",
148
  version=VERSION,
149
  description="329 daily time series representing the number of trips and vehicles belonging to a set of for-hire vehicle (FHV) companies.",
150
- record="5122535",
151
  file_name="vehicle_trips_dataset_with_missing_values.zip",
152
  ),
153
  MonashTSFBuilderConfig(
154
  name="kdd_cup_2018",
155
  version=VERSION,
156
  description="Hourly time series representing the air quality levels in 59 stations in 2 cities from 01/01/2017 to 31/03/2018.",
157
- record="4656719",
158
  file_name="kdd_cup_2018_dataset_with_missing_values.zip",
159
  ),
160
  MonashTSFBuilderConfig(
161
  name="nn5_daily",
162
  version=VERSION,
163
  description="111 time series to predicting the daily cash withdrawals from ATMs in UK.",
164
- record="4656110",
165
  file_name="nn5_daily_dataset_with_missing_values.zip",
166
  ),
167
  MonashTSFBuilderConfig(
168
  name="nn5_weekly",
169
  version=VERSION,
170
  description="111 time series to predicting the weekly cash withdrawals from ATMs in UK.",
171
- record="4656125",
172
  file_name="nn5_weekly_dataset.zip",
173
  ),
174
  MonashTSFBuilderConfig(
175
  name="kaggle_web_traffic",
176
  version=VERSION,
177
  description="145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.",
178
- record="4656080",
179
  file_name="kaggle_web_traffic_dataset_with_missing_values.zip",
180
  ),
181
  MonashTSFBuilderConfig(
182
  name="kaggle_web_traffic_weekly",
183
  version=VERSION,
184
  description="145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.",
185
- record="4656664",
186
  file_name="kaggle_web_traffic_weekly_dataset.zip",
187
  ),
188
  MonashTSFBuilderConfig(
189
  name="solar_10_minutes",
190
  version=VERSION,
191
  description="137 time series representing the solar power production recorded per every 10 minutes in Alabama state in 2006.",
192
- record="4656144",
193
  file_name="solar_10_minutes_dataset.zip",
194
  ),
195
  MonashTSFBuilderConfig(
196
  name="solar_weekly",
197
  version=VERSION,
198
  description="137 time series representing the weekly solar power production in Alabama state in 2006.",
199
- record="4656151",
200
  file_name="solar_weekly_dataset.zip",
201
  ),
202
  MonashTSFBuilderConfig(
203
  name="car_parts",
204
  version=VERSION,
205
  description="2674 intermittent monthly time series that represent car parts sales from January 1998 to March 2002.",
206
- record="4656022",
207
  file_name="car_parts_dataset_with_missing_values.zip",
208
  ),
209
  MonashTSFBuilderConfig(
210
  name="fred_md",
211
  version=VERSION,
212
  description="107 monthly time series showing a set of macro-economic indicators from the Federal Reserve Bank.",
213
- record="4654833",
214
  file_name="fred_md_dataset.zip",
215
  ),
216
  MonashTSFBuilderConfig(
217
  name="traffic_hourly",
218
  version=VERSION,
219
  description="862 hourly time series showing the road occupancy rates on the San Francisco Bay area freeways from 2015 to 2016.",
220
- record="4656132",
221
  file_name="traffic_hourly_dataset.zip",
222
  ),
223
  MonashTSFBuilderConfig(
224
  name="traffic_weekly",
225
  version=VERSION,
226
  description="862 weekly time series showing the road occupancy rates on the San Francisco Bay area freeways from 2015 to 2016.",
227
- record="4656135",
228
  file_name="traffic_weekly_dataset.zip",
229
  ),
230
  MonashTSFBuilderConfig(
231
  name="hospital",
232
  version=VERSION,
233
  description="767 monthly time series that represent the patient counts related to medical products from January 2000 to December 2006.",
234
- record="4656014",
235
  file_name="hospital_dataset.zip",
236
  ),
237
  MonashTSFBuilderConfig(
238
  name="covid_deaths",
239
  version=VERSION,
240
  description="266 daily time series that represent the COVID-19 deaths in a set of countries and states from 22/01/2020 to 20/08/2020.",
241
- record="4656009",
242
  file_name="covid_deaths_dataset.zip",
243
  ),
244
  MonashTSFBuilderConfig(
245
  name="sunspot",
246
  version=VERSION,
247
  description="A single very long daily time series of sunspot numbers from 1818-01-08 to 2020-05-31.",
248
- record="4654773",
249
  file_name="sunspot_dataset_with_missing_values.zip",
250
  ),
251
  MonashTSFBuilderConfig(
252
  name="saugeenday",
253
  version=VERSION,
254
  description="A single very long time series representing the daily mean flow of the Saugeen River at Walkerton in cubic meters per second from 01/01/1915 to 31/12/1979.",
255
- record="4656058",
256
  file_name="saugeenday_dataset.zip",
257
  ),
258
  MonashTSFBuilderConfig(
259
  name="us_births",
260
  version=VERSION,
261
  description="A single very long daily time series representing the number of births in US from 01/01/1969 to 31/12/1988.",
262
- record="4656049",
263
  file_name="us_births_dataset.zip",
264
  ),
265
  MonashTSFBuilderConfig(
266
  name="solar_4_seconds",
267
  version=VERSION,
268
  description="A single very long daily time series representing the solar power production in MW recorded per every 4 seconds starting from 01/08/2019.",
269
- record="4656027",
270
  file_name="solar_4_seconds_dataset.zip",
271
  ),
272
  MonashTSFBuilderConfig(
273
  name="wind_4_seconds",
274
  version=VERSION,
275
  description="A single very long daily time series representing the wind power production in MW recorded per every 4 seconds starting from 01/08/2019.",
276
- record="4656032",
277
  file_name="wind_4_seconds_dataset.zip",
278
  ),
279
  MonashTSFBuilderConfig(
280
  name="rideshare",
281
  version=VERSION,
282
  description="156 hourly time series representations of attributes related to Uber and Lyft rideshare services for various locations in New York between 26/11/2018 and 18/12/2018.",
283
- record="5122114",
284
  file_name="rideshare_dataset_with_missing_values.zip",
285
  item_id_column=["source_location", "provider_name", "provider_service"],
286
  data_column="type",
@@ -303,7 +303,7 @@ class MonashTSF(datasets.GeneratorBasedBuilder):
303
  name="oikolab_weather",
304
  version=VERSION,
305
  description="Eight time series representing the hourly climate data nearby Monash University, Clayton, Victoria, Australia from 2010-01-01 to 2021-05-31",
306
- record="5184708",
307
  file_name="oikolab_weather_dataset.zip",
308
  data_column="type",
309
  ),
@@ -311,7 +311,7 @@ class MonashTSF(datasets.GeneratorBasedBuilder):
311
  name="temperature_rain",
312
  version=VERSION,
313
  description="32072 daily time series showing the temperature observations and rain forecasts, gathered by the Australian Bureau of Meteorology for 422 weather stations across Australia, between 02/05/2015 and 26/04/2017",
314
- record="5129073",
315
  file_name="temperature_rain_dataset_with_missing_values.zip",
316
  item_id_column="station_id",
317
  data_column="obs_or_fcst",
 
54
  """MonashTSF builder config with some added meta data."""
55
 
56
  file_name: Optional[str] = None
57
+ url: Optional[str] = None
58
  prediction_length: Optional[int] = None
59
  item_id_column: Optional[str] = None
60
  data_column: Optional[str] = None
 
76
  name="weather",
77
  version=VERSION,
78
  description="3010 daily time series representing the variations of four weather variables: rain, mintemp, maxtemp and solar radiation, measured at the weather stations in Australia.",
79
+ url="https://zenodo.org/record/4654822",
80
  file_name="weather_dataset.zip",
81
  data_column="series_type",
82
  ),
 
84
  name="tourism_yearly",
85
  version=VERSION,
86
  description="This dataset contains 518 yearly time series used in the Kaggle Tourism forecasting competition.",
87
+ url="https://zenodo.org/record/4656103",
88
  file_name="tourism_yearly_dataset.zip",
89
  ),
90
  MonashTSFBuilderConfig(
91
  name="tourism_quarterly",
92
  version=VERSION,
93
  description="This dataset contains 427 quarterly time series used in the Kaggle Tourism forecasting competition.",
94
+ url="https://zenodo.org/record/4656093",
95
  file_name="tourism_quarterly_dataset.zip",
96
  ),
97
  MonashTSFBuilderConfig(
98
  name="tourism_monthly",
99
  version=VERSION,
100
  description="This dataset contains 366 monthly time series used in the Kaggle Tourism forecasting competition.",
101
+ url="https://zenodo.org/record/4656096",
102
  file_name="tourism_monthly_dataset.zip",
103
  ),
104
  MonashTSFBuilderConfig(
105
  name="cif_2016",
106
  version=VERSION,
107
  description="72 monthly time series originated from the banking domain used in the CIF 2016 forecasting competition.",
108
+ url="https://zenodo.org/record/4656042",
109
  file_name="cif_2016_dataset.zip",
110
  ),
111
  MonashTSFBuilderConfig(
112
  name="london_smart_meters",
113
  version=VERSION,
114
  description="5560 half hourly time series that represent the energy consumption readings of London households in kilowatt hour (kWh) from November 2011 to February 2014.",
115
+ url="https://zenodo.org/record/4656072",
116
  file_name="london_smart_meters_dataset_with_missing_values.zip",
117
  ),
118
  MonashTSFBuilderConfig(
119
  name="australian_electricity_demand",
120
  version=VERSION,
121
  description="5 time series representing the half hourly electricity demand of 5 states in Australia: Victoria, New South Wales, Queensland, Tasmania and South Australia.",
122
+ url="https://zenodo.org/record/4659727",
123
  file_name="australian_electricity_demand_dataset.zip",
124
  ),
125
  MonashTSFBuilderConfig(
126
  name="wind_farms_minutely",
127
  version=VERSION,
128
  description="Minutely time series representing the wind power production of 339 wind farms in Australia.",
129
+ url="https://zenodo.org/record/4654909",
130
  file_name="wind_farms_minutely_dataset_with_missing_values.zip",
131
  ),
132
  MonashTSFBuilderConfig(
133
  name="bitcoin",
134
  version=VERSION,
135
  description="18 daily time series including hash rate, block size, mining difficulty etc. as well as public opinion in the form of tweets and google searches mentioning the keyword bitcoin as potential influencer of the bitcoin price.",
136
+ url="https://zenodo.org/record/5121965",
137
  file_name="bitcoin_dataset_with_missing_values.zip",
138
  ),
139
  MonashTSFBuilderConfig(
140
  name="pedestrian_counts",
141
  version=VERSION,
142
  description="Hourly pedestrian counts captured from 66 sensors in Melbourne city starting from May 2009.",
143
+ url="https://zenodo.org/record/4656626",
144
  file_name="pedestrian_counts_dataset.zip",
145
  ),
146
  MonashTSFBuilderConfig(
147
  name="vehicle_trips",
148
  version=VERSION,
149
  description="329 daily time series representing the number of trips and vehicles belonging to a set of for-hire vehicle (FHV) companies.",
150
+ url="https://zenodo.org/record/5122535",
151
  file_name="vehicle_trips_dataset_with_missing_values.zip",
152
  ),
153
  MonashTSFBuilderConfig(
154
  name="kdd_cup_2018",
155
  version=VERSION,
156
  description="Hourly time series representing the air quality levels in 59 stations in 2 cities from 01/01/2017 to 31/03/2018.",
157
+ url="https://zenodo.org/record/4656719",
158
  file_name="kdd_cup_2018_dataset_with_missing_values.zip",
159
  ),
160
  MonashTSFBuilderConfig(
161
  name="nn5_daily",
162
  version=VERSION,
163
  description="111 time series to predicting the daily cash withdrawals from ATMs in UK.",
164
+ url="https://zenodo.org/record/4656110",
165
  file_name="nn5_daily_dataset_with_missing_values.zip",
166
  ),
167
  MonashTSFBuilderConfig(
168
  name="nn5_weekly",
169
  version=VERSION,
170
  description="111 time series to predicting the weekly cash withdrawals from ATMs in UK.",
171
+ url="https://zenodo.org/record/4656125",
172
  file_name="nn5_weekly_dataset.zip",
173
  ),
174
  MonashTSFBuilderConfig(
175
  name="kaggle_web_traffic",
176
  version=VERSION,
177
  description="145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.",
178
+ url="https://zenodo.org/record/4656080",
179
  file_name="kaggle_web_traffic_dataset_with_missing_values.zip",
180
  ),
181
  MonashTSFBuilderConfig(
182
  name="kaggle_web_traffic_weekly",
183
  version=VERSION,
184
  description="145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.",
185
+ url="https://zenodo.org/record/4656664",
186
  file_name="kaggle_web_traffic_weekly_dataset.zip",
187
  ),
188
  MonashTSFBuilderConfig(
189
  name="solar_10_minutes",
190
  version=VERSION,
191
  description="137 time series representing the solar power production recorded per every 10 minutes in Alabama state in 2006.",
192
+ url="https://zenodo.org/record/4656144",
193
  file_name="solar_10_minutes_dataset.zip",
194
  ),
195
  MonashTSFBuilderConfig(
196
  name="solar_weekly",
197
  version=VERSION,
198
  description="137 time series representing the weekly solar power production in Alabama state in 2006.",
199
+ url="https://zenodo.org/record/4656151",
200
  file_name="solar_weekly_dataset.zip",
201
  ),
202
  MonashTSFBuilderConfig(
203
  name="car_parts",
204
  version=VERSION,
205
  description="2674 intermittent monthly time series that represent car parts sales from January 1998 to March 2002.",
206
+ url="https://zenodo.org/record/4656022",
207
  file_name="car_parts_dataset_with_missing_values.zip",
208
  ),
209
  MonashTSFBuilderConfig(
210
  name="fred_md",
211
  version=VERSION,
212
  description="107 monthly time series showing a set of macro-economic indicators from the Federal Reserve Bank.",
213
+ url="https://zenodo.org/record/4654833",
214
  file_name="fred_md_dataset.zip",
215
  ),
216
  MonashTSFBuilderConfig(
217
  name="traffic_hourly",
218
  version=VERSION,
219
  description="862 hourly time series showing the road occupancy rates on the San Francisco Bay area freeways from 2015 to 2016.",
220
+ url="https://zenodo.org/record/4656132",
221
  file_name="traffic_hourly_dataset.zip",
222
  ),
223
  MonashTSFBuilderConfig(
224
  name="traffic_weekly",
225
  version=VERSION,
226
  description="862 weekly time series showing the road occupancy rates on the San Francisco Bay area freeways from 2015 to 2016.",
227
+ url="https://zenodo.org/record/4656135",
228
  file_name="traffic_weekly_dataset.zip",
229
  ),
230
  MonashTSFBuilderConfig(
231
  name="hospital",
232
  version=VERSION,
233
  description="767 monthly time series that represent the patient counts related to medical products from January 2000 to December 2006.",
234
+ url="https://zenodo.org/record/4656014",
235
  file_name="hospital_dataset.zip",
236
  ),
237
  MonashTSFBuilderConfig(
238
  name="covid_deaths",
239
  version=VERSION,
240
  description="266 daily time series that represent the COVID-19 deaths in a set of countries and states from 22/01/2020 to 20/08/2020.",
241
+ url="https://zenodo.org/record/4656009",
242
  file_name="covid_deaths_dataset.zip",
243
  ),
244
  MonashTSFBuilderConfig(
245
  name="sunspot",
246
  version=VERSION,
247
  description="A single very long daily time series of sunspot numbers from 1818-01-08 to 2020-05-31.",
248
+ url="https://zenodo.org/record/4654773",
249
  file_name="sunspot_dataset_with_missing_values.zip",
250
  ),
251
  MonashTSFBuilderConfig(
252
  name="saugeenday",
253
  version=VERSION,
254
  description="A single very long time series representing the daily mean flow of the Saugeen River at Walkerton in cubic meters per second from 01/01/1915 to 31/12/1979.",
255
+ url="https://zenodo.org/record/4656058",
256
  file_name="saugeenday_dataset.zip",
257
  ),
258
  MonashTSFBuilderConfig(
259
  name="us_births",
260
  version=VERSION,
261
  description="A single very long daily time series representing the number of births in US from 01/01/1969 to 31/12/1988.",
262
+ url="https://zenodo.org/record/4656049",
263
  file_name="us_births_dataset.zip",
264
  ),
265
  MonashTSFBuilderConfig(
266
  name="solar_4_seconds",
267
  version=VERSION,
268
  description="A single very long daily time series representing the solar power production in MW recorded per every 4 seconds starting from 01/08/2019.",
269
+ url="https://zenodo.org/record/4656027",
270
  file_name="solar_4_seconds_dataset.zip",
271
  ),
272
  MonashTSFBuilderConfig(
273
  name="wind_4_seconds",
274
  version=VERSION,
275
  description="A single very long daily time series representing the wind power production in MW recorded per every 4 seconds starting from 01/08/2019.",
276
+ url="https://zenodo.org/record/4656032",
277
  file_name="wind_4_seconds_dataset.zip",
278
  ),
279
  MonashTSFBuilderConfig(
280
  name="rideshare",
281
  version=VERSION,
282
  description="156 hourly time series representations of attributes related to Uber and Lyft rideshare services for various locations in New York between 26/11/2018 and 18/12/2018.",
283
+ url="https://zenodo.org/record/5122114",
284
  file_name="rideshare_dataset_with_missing_values.zip",
285
  item_id_column=["source_location", "provider_name", "provider_service"],
286
  data_column="type",
 
303
  name="oikolab_weather",
304
  version=VERSION,
305
  description="Eight time series representing the hourly climate data nearby Monash University, Clayton, Victoria, Australia from 2010-01-01 to 2021-05-31",
306
+ url="https://zenodo.org/record/5184708",
307
  file_name="oikolab_weather_dataset.zip",
308
  data_column="type",
309
  ),
 
311
  name="temperature_rain",
312
  version=VERSION,
313
  description="32072 daily time series showing the temperature observations and rain forecasts, gathered by the Australian Bureau of Meteorology for 422 weather stations across Australia, between 02/05/2015 and 26/04/2017",
314
+ url="https://zenodo.org/record/5129073",
315
  file_name="temperature_rain_dataset_with_missing_values.zip",
316
  item_id_column="station_id",
317
  data_column="obs_or_fcst",