Host data files (#4)

- Add source data files (209fe7148a78d7827468174f6173c3e4c72ee460)
- Update loading script (990b54443baf6931f3d14a1413bf1ac350b4061f)
- Delete legacy dataset_infos.json (0e25b5c78e8b81fe3bb32e099ce0fab44e1f124f)
- Update dataset card (53e3ac2b284d7e3a0f2e5e76cbebeeb0ff37d33f)

README.md

@@ -20,7 +20,7 @@ task_ids:
 paperswithcode_id: clinc150
 pretty_name: CLINC150
 dataset_info:
-- config_name: small
+- config_name: imbalanced
   features:
   - name: text
     dtype: string
@@ -181,17 +181,17 @@ dataset_info:
           '150': change_volume
   splits:
   - name: train
-    num_bytes: 394128
-    num_examples: 7600
+    num_bytes: 546901
+    num_examples: 10625
   - name: validation
-    num_bytes: 160302
+    num_bytes: 160298
     num_examples: 3100
   - name: test
-    num_bytes: 286970
+    num_bytes: 286966
     num_examples: 5500
-  download_size: 1702451
-  dataset_size: 841400
-- config_name: imbalanced
+  download_size: 246833
+  dataset_size: 994165
+- config_name: plus
   features:
   - name: text
     dtype: string
@@ -352,17 +352,17 @@ dataset_info:
           '150': change_volume
   splits:
   - name: train
-    num_bytes: 546909
-    num_examples: 10625
+    num_bytes: 791247
+    num_examples: 15250
   - name: validation
-    num_bytes: 160302
+    num_bytes: 160298
     num_examples: 3100
   - name: test
-    num_bytes: 286970
+    num_bytes: 286966
     num_examples: 5500
-  download_size: 2016773
-  dataset_size: 994181
-- config_name: plus
+  download_size: 291179
+  dataset_size: 1238511
+- config_name: small
   features:
   - name: text
     dtype: string
@@ -523,16 +523,16 @@ dataset_info:
           '150': change_volume
   splits:
   - name: train
-    num_bytes: 791255
-    num_examples: 15250
+    num_bytes: 394124
+    num_examples: 7600
   - name: validation
-    num_bytes: 160302
+    num_bytes: 160298
     num_examples: 3100
   - name: test
-    num_bytes: 286970
+    num_bytes: 286966
     num_examples: 5500
-  download_size: 2509789
-  dataset_size: 1238527
+  download_size: 216522
+  dataset_size: 841388
 ---
 
 # Dataset Card for CLINC150

clinc_oos.py

@@ -55,10 +55,14 @@ _DESCRIPTIONS = {
 
 _URL = "https://github.com/clinc/oos-eval/"
 
+# Source:
+# - https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_small.json
+# - https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_imbalanced.json
+# - https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_oos_plus.json
 _DATA_URLS = {
-    "small": "https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_small.json",
-    "imbalanced": "https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_imbalanced.json",
-    "plus": "https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_oos_plus.json",
+    "small": "data/data_small.json.gz",
+    "imbalanced": "data/data_imbalanced.json.gz",
+    "plus": "data/data_oos_plus.json.gz",
 }
 
 

data/data_imbalanced.json.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:721c11eb7205c67cdfbf59c7748125b5ed7b9648a8cd3820e6f3b58e8ae429ba
+size 246833

data/data_oos_plus.json.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:51c408ab015c311d31f4af5141b7ada0a836b60373f332ed32d37dbbddfa4a9d
+size 291179

data/data_small.json.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3679c8c6171f5ad79c02849af0882dac0964f79d0cd1c74a7f57994997179765
+size 216522

dataset_infos.json

@@ -1 +0,0 @@
-{"small": {"description": "    This dataset is for evaluating the performance of intent classification systems in the\n    presence of \"out-of-scope\" queries. By \"out-of-scope\", we mean queries that do not fall\n    into any of the system-supported intent classes. Most datasets include only data that is\n    \"in-scope\". Our dataset includes both in-scope and out-of-scope data. You might also know\n    the term \"out-of-scope\" by other terms, including \"out-of-domain\" or \"out-of-distribution\".\n\nSmall, in which there are only 50 training queries per each in-scope intent\n", "citation": "    @inproceedings{larson-etal-2019-evaluation,\n    title = \"An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction\",\n    author = \"Larson, Stefan  and\n      Mahendran, Anish  and\n      Peper, Joseph J.  and\n      Clarke, Christopher  and\n      Lee, Andrew  and\n      Hill, Parker  and\n      Kummerfeld, Jonathan K.  and\n      Leach, Kevin  and\n      Laurenzano, Michael A.  and\n      Tang, Lingjia  and\n      Mars, Jason\",\n    booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\",\n    year = \"2019\",\n    url = \"https://www.aclweb.org/anthology/D19-1131\"\n}\n", "homepage": "https://github.com/clinc/oos-eval/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "intent": {"num_classes": 151, "names": ["restaurant_reviews", "nutrition_info", "account_blocked", "oil_change_how", "time", "weather", "redeem_rewards", "interest_rate", "gas_type", "accept_reservations", "smart_home", "user_name", "report_lost_card", "repeat", "whisper_mode", "what_are_your_hobbies", "order", "jump_start", "schedule_meeting", "meeting_schedule", "freeze_account", "what_song", "meaning_of_life", "restaurant_reservation", "traffic", "make_call", "text", "bill_balance", "improve_credit_score", "change_language", "no", "measurement_conversion", "timer", "flip_coin", "do_you_have_pets", "balance", "tell_joke", "last_maintenance", "exchange_rate", "uber", "car_rental", "credit_limit", "oos", "shopping_list", "expiration_date", "routing", "meal_suggestion", "tire_change", "todo_list", "card_declined", "rewards_balance", "change_accent", "vaccines", "reminder_update", "food_last", "change_ai_name", "bill_due", "who_do_you_work_for", "share_location", "international_visa", "calendar", "translate", "carry_on", "book_flight", "insurance_change", "todo_list_update", "timezone", "cancel_reservation", "transactions", "credit_score", "report_fraud", "spending_history", "directions", "spelling", "insurance", "what_is_your_name", "reminder", "where_are_you_from", "distance", "payday", "flight_status", "find_phone", "greeting", "alarm", "order_status", "confirm_reservation", "cook_time", "damaged_card", "reset_settings", "pin_change", "replacement_card_duration", "new_card", "roll_dice", "income", "taxes", "date", "who_made_you", "pto_request", "tire_pressure", "how_old_are_you", "rollover_401k", "pto_request_status", "how_busy", "application_status", "recipe", "calendar_update", "play_music", "yes", "direct_deposit", "credit_limit_change", "gas", "pay_bill", "ingredients_list", "lost_luggage", "goodbye", "what_can_i_ask_you", "book_hotel", "are_you_a_bot", "next_song", "change_speed", "plug_type", "maybe", "w2", "oil_change_when", "thank_you", "shopping_list_update", "pto_balance", "order_checks", "travel_alert", "fun_fact", "sync_device", "schedule_maintenance", "apr", "transfer", "ingredient_substitution", "calories", "current_location", "international_fees", "calculator", "definition", "next_holiday", "update_playlist", "mpg", "min_payment", "change_user_name", "restaurant_suggestion", "travel_notification", "cancel", "pto_used", "travel_suggestion", "change_volume"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "clinc_oos", "config_name": "small", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 394128, "num_examples": 7600, "dataset_name": "clinc_oos"}, "validation": {"name": "validation", "num_bytes": 160302, "num_examples": 3100, "dataset_name": "clinc_oos"}, "test": {"name": "test", "num_bytes": 286970, "num_examples": 5500, "dataset_name": "clinc_oos"}}, "download_checksums": {"https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_small.json": {"num_bytes": 1702451, "checksum": "050e17476e6b4fa88f8518edaf09921c8f5e3a86dc8b63615361102a20b2ac01"}}, "download_size": 1702451, "post_processing_size": null, "dataset_size": 841400, "size_in_bytes": 2543851}, "imbalanced": {"description": "    This dataset is for evaluating the performance of intent classification systems in the\n    presence of \"out-of-scope\" queries. By \"out-of-scope\", we mean queries that do not fall\n    into any of the system-supported intent classes. Most datasets include only data that is\n    \"in-scope\". Our dataset includes both in-scope and out-of-scope data. You might also know\n    the term \"out-of-scope\" by other terms, including \"out-of-domain\" or \"out-of-distribution\".\n\nImbalanced, in which intents have either 25, 50, 75, or 100 training queries.\n", "citation": "    @inproceedings{larson-etal-2019-evaluation,\n    title = \"An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction\",\n    author = \"Larson, Stefan  and\n      Mahendran, Anish  and\n      Peper, Joseph J.  and\n      Clarke, Christopher  and\n      Lee, Andrew  and\n      Hill, Parker  and\n      Kummerfeld, Jonathan K.  and\n      Leach, Kevin  and\n      Laurenzano, Michael A.  and\n      Tang, Lingjia  and\n      Mars, Jason\",\n    booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\",\n    year = \"2019\",\n    url = \"https://www.aclweb.org/anthology/D19-1131\"\n}\n", "homepage": "https://github.com/clinc/oos-eval/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "intent": {"num_classes": 151, "names": ["restaurant_reviews", "nutrition_info", "account_blocked", "oil_change_how", "time", "weather", "redeem_rewards", "interest_rate", "gas_type", "accept_reservations", "smart_home", "user_name", "report_lost_card", "repeat", "whisper_mode", "what_are_your_hobbies", "order", "jump_start", "schedule_meeting", "meeting_schedule", "freeze_account", "what_song", "meaning_of_life", "restaurant_reservation", "traffic", "make_call", "text", "bill_balance", "improve_credit_score", "change_language", "no", "measurement_conversion", "timer", "flip_coin", "do_you_have_pets", "balance", "tell_joke", "last_maintenance", "exchange_rate", "uber", "car_rental", "credit_limit", "oos", "shopping_list", "expiration_date", "routing", "meal_suggestion", "tire_change", "todo_list", "card_declined", "rewards_balance", "change_accent", "vaccines", "reminder_update", "food_last", "change_ai_name", "bill_due", "who_do_you_work_for", "share_location", "international_visa", "calendar", "translate", "carry_on", "book_flight", "insurance_change", "todo_list_update", "timezone", "cancel_reservation", "transactions", "credit_score", "report_fraud", "spending_history", "directions", "spelling", "insurance", "what_is_your_name", "reminder", "where_are_you_from", "distance", "payday", "flight_status", "find_phone", "greeting", "alarm", "order_status", "confirm_reservation", "cook_time", "damaged_card", "reset_settings", "pin_change", "replacement_card_duration", "new_card", "roll_dice", "income", "taxes", "date", "who_made_you", "pto_request", "tire_pressure", "how_old_are_you", "rollover_401k", "pto_request_status", "how_busy", "application_status", "recipe", "calendar_update", "play_music", "yes", "direct_deposit", "credit_limit_change", "gas", "pay_bill", "ingredients_list", "lost_luggage", "goodbye", "what_can_i_ask_you", "book_hotel", "are_you_a_bot", "next_song", "change_speed", "plug_type", "maybe", "w2", "oil_change_when", "thank_you", "shopping_list_update", "pto_balance", "order_checks", "travel_alert", "fun_fact", "sync_device", "schedule_maintenance", "apr", "transfer", "ingredient_substitution", "calories", "current_location", "international_fees", "calculator", "definition", "next_holiday", "update_playlist", "mpg", "min_payment", "change_user_name", "restaurant_suggestion", "travel_notification", "cancel", "pto_used", "travel_suggestion", "change_volume"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "clinc_oos", "config_name": "imbalanced", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 546909, "num_examples": 10625, "dataset_name": "clinc_oos"}, "validation": {"name": "validation", "num_bytes": 160302, "num_examples": 3100, "dataset_name": "clinc_oos"}, "test": {"name": "test", "num_bytes": 286970, "num_examples": 5500, "dataset_name": "clinc_oos"}}, "download_checksums": {"https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_imbalanced.json": {"num_bytes": 2016773, "checksum": "4886730b20c51eece26aa392ecae2717bfe9908680419e96255351c6148eb4cc"}}, "download_size": 2016773, "post_processing_size": null, "dataset_size": 994181, "size_in_bytes": 3010954}, "plus": {"description": "    This dataset is for evaluating the performance of intent classification systems in the\n    presence of \"out-of-scope\" queries. By \"out-of-scope\", we mean queries that do not fall\n    into any of the system-supported intent classes. Most datasets include only data that is\n    \"in-scope\". Our dataset includes both in-scope and out-of-scope data. You might also know\n    the term \"out-of-scope\" by other terms, including \"out-of-domain\" or \"out-of-distribution\".\n\nOOS+, in which there are 250 out-of-scope training examples, rather than 100.\n", "citation": "    @inproceedings{larson-etal-2019-evaluation,\n    title = \"An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction\",\n    author = \"Larson, Stefan  and\n      Mahendran, Anish  and\n      Peper, Joseph J.  and\n      Clarke, Christopher  and\n      Lee, Andrew  and\n      Hill, Parker  and\n      Kummerfeld, Jonathan K.  and\n      Leach, Kevin  and\n      Laurenzano, Michael A.  and\n      Tang, Lingjia  and\n      Mars, Jason\",\n    booktitle = \"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)\",\n    year = \"2019\",\n    url = \"https://www.aclweb.org/anthology/D19-1131\"\n}\n", "homepage": "https://github.com/clinc/oos-eval/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "intent": {"num_classes": 151, "names": ["restaurant_reviews", "nutrition_info", "account_blocked", "oil_change_how", "time", "weather", "redeem_rewards", "interest_rate", "gas_type", "accept_reservations", "smart_home", "user_name", "report_lost_card", "repeat", "whisper_mode", "what_are_your_hobbies", "order", "jump_start", "schedule_meeting", "meeting_schedule", "freeze_account", "what_song", "meaning_of_life", "restaurant_reservation", "traffic", "make_call", "text", "bill_balance", "improve_credit_score", "change_language", "no", "measurement_conversion", "timer", "flip_coin", "do_you_have_pets", "balance", "tell_joke", "last_maintenance", "exchange_rate", "uber", "car_rental", "credit_limit", "oos", "shopping_list", "expiration_date", "routing", "meal_suggestion", "tire_change", "todo_list", "card_declined", "rewards_balance", "change_accent", "vaccines", "reminder_update", "food_last", "change_ai_name", "bill_due", "who_do_you_work_for", "share_location", "international_visa", "calendar", "translate", "carry_on", "book_flight", "insurance_change", "todo_list_update", "timezone", "cancel_reservation", "transactions", "credit_score", "report_fraud", "spending_history", "directions", "spelling", "insurance", "what_is_your_name", "reminder", "where_are_you_from", "distance", "payday", "flight_status", "find_phone", "greeting", "alarm", "order_status", "confirm_reservation", "cook_time", "damaged_card", "reset_settings", "pin_change", "replacement_card_duration", "new_card", "roll_dice", "income", "taxes", "date", "who_made_you", "pto_request", "tire_pressure", "how_old_are_you", "rollover_401k", "pto_request_status", "how_busy", "application_status", "recipe", "calendar_update", "play_music", "yes", "direct_deposit", "credit_limit_change", "gas", "pay_bill", "ingredients_list", "lost_luggage", "goodbye", "what_can_i_ask_you", "book_hotel", "are_you_a_bot", "next_song", "change_speed", "plug_type", "maybe", "w2", "oil_change_when", "thank_you", "shopping_list_update", "pto_balance", "order_checks", "travel_alert", "fun_fact", "sync_device", "schedule_maintenance", "apr", "transfer", "ingredient_substitution", "calories", "current_location", "international_fees", "calculator", "definition", "next_holiday", "update_playlist", "mpg", "min_payment", "change_user_name", "restaurant_suggestion", "travel_notification", "cancel", "pto_used", "travel_suggestion", "change_volume"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "clinc_oos", "config_name": "plus", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 791255, "num_examples": 15250, "dataset_name": "clinc_oos"}, "validation": {"name": "validation", "num_bytes": 160302, "num_examples": 3100, "dataset_name": "clinc_oos"}, "test": {"name": "test", "num_bytes": 286970, "num_examples": 5500, "dataset_name": "clinc_oos"}}, "download_checksums": {"https://raw.githubusercontent.com/clinc/oos-eval/master/data/data_oos_plus.json": {"num_bytes": 2509789, "checksum": "bfcca9ae515623541dc1983c94c4ed7cae9d26b42ae47d74b972e51bb6f7a21f"}}, "download_size": 2509789, "post_processing_size": null, "dataset_size": 1238527, "size_in_bytes": 3748316}}