Modified data structure for faster loading of small configs.

README.md

@@ -37,7 +37,7 @@ task_ids:
   - multi-class-classification
   - sentiment-classification
 dataset_info:
-  - config_name: lite
+  - config_name: large_lite
     features:
       - name: cik
         dtype: string
@@ -89,6 +89,12 @@ dataset_info:
                   "1": negative
       - name: filingDate
         dtype: string
+      - name: docID
+        dtype: string
+      - name: sentenceID
+        dtype: string
+      - name: sentenceCount
+        dtype: int64
     splits:
       - name: train
         num_bytes: 16424576472
@@ -101,7 +107,7 @@ dataset_info:
         num_examples: 2965174
     download_size: 13362319126
     dataset_size: 17621220293
-  - config_name: full
+  - config_name: large_full
     features:
       - name: cik
         dtype: string
@@ -155,6 +161,12 @@ dataset_info:
         dtype: string
       - name: name
         dtype: string
+      - name: docID
+        dtype: string
+      - name: sentenceID
+        dtype: string
+      - name: sentenceCount
+        dtype: int64
       - name: tickers
         list: string
       - name: exchanges
@@ -223,70 +235,6 @@ dataset_info:
         num_examples: 2965174
     download_size: 13362319126
     dataset_size: 42055510172
-  - config_name: small_lite
-    features:
-      - name: cik
-        dtype: string
-      - name: sentence
-        dtype: string
-      - name: section
-        dtype:
-          class_label:
-            names:
-              "0": section_1
-              "1": section_10
-              "2": section_11
-              "3": section_12
-              "4": section_13
-              "5": section_14
-              "6": section_15
-              "7": section_1A
-              "8": section_1B
-              "9": section_2
-              "10": section_3
-              "11": section_4
-              "12": section_5
-              "13": section_6
-              "14": section_7
-              "15": section_7A
-              "16": section_8
-              "17": section_9
-              "18": section_9A
-              "19": section_9B
-      - name: labels
-        struct:
-          - name: 1d
-            dtype:
-              class_label:
-                names:
-                  "0": positive
-                  "1": negative
-          - name: 5d
-            dtype:
-              class_label:
-                names:
-                  "0": positive
-                  "1": negative
-          - name: 30d
-            dtype:
-              class_label:
-                names:
-                  "0": positive
-                  "1": negative
-      - name: filingDate
-        dtype: string
-    splits:
-      - name: train
-        num_bytes: 48766050
-        num_examples: 200000
-      - name: validation
-        num_bytes: 5581651
-        num_examples: 20000
-      - name: test
-        num_bytes: 5036956
-        num_examples: 20000
-    download_size: 13362319126
-    dataset_size: 59384657
   - config_name: small_full
     features:
       - name: cik
@@ -298,25 +246,25 @@ dataset_info:
           class_label:
             names:
               "0": section_1
-              "1": section_10
-              "2": section_11
-              "3": section_12
-              "4": section_13
-              "5": section_14
-              "6": section_15
-              "7": section_1A
-              "8": section_1B
-              "9": section_2
-              "10": section_3
-              "11": section_4
-              "12": section_5
-              "13": section_6
-              "14": section_7
-              "15": section_7A
-              "16": section_8
-              "17": section_9
-              "18": section_9A
-              "19": section_9B
+              "1": section_1A
+              "2": section_1B
+              "3": section_2
+              "4": section_3
+              "5": section_4
+              "6": section_5
+              "7": section_6
+              "8": section_7
+              "9": section_7A
+              "10": section_8
+              "11": section_9
+              "12": section_9A
+              "13": section_9B
+              "14": section_10
+              "15": section_11
+              "16": section_12
+              "17": section_13
+              "18": section_14
+              "19": section_15
       - name: labels
         struct:
           - name: 1d
@@ -341,6 +289,12 @@ dataset_info:
         dtype: string
       - name: name
         dtype: string
+      - name: docID
+        dtype: string
+      - name: sentenceID
+        dtype: string
+      - name: sentenceCount
+        dtype: int64
       - name: tickers
         list: string
       - name: exchanges
@@ -399,16 +353,86 @@ dataset_info:
                 dtype: float32
     splits:
       - name: train
-        num_bytes: 116038677
+        num_bytes: 128731540
         num_examples: 200000
       - name: validation
-        num_bytes: 12380261
+        num_bytes: 13411689
         num_examples: 20000
       - name: test
-        num_bytes: 11898871
+        num_bytes: 13188331
         num_examples: 20000
-    download_size: 13362319126
-    dataset_size: 140317809
+    download_size: 42764380
+    dataset_size: 155331560
+  - config_name: small_lite
+    features:
+      - name: cik
+        dtype: string
+      - name: sentence
+        dtype: string
+      - name: section
+        dtype:
+          class_label:
+            names:
+              "0": section_1
+              "1": section_1A
+              "2": section_1B
+              "3": section_2
+              "4": section_3
+              "5": section_4
+              "6": section_5
+              "7": section_6
+              "8": section_7
+              "9": section_7A
+              "10": section_8
+              "11": section_9
+              "12": section_9A
+              "13": section_9B
+              "14": section_10
+              "15": section_11
+              "16": section_12
+              "17": section_13
+              "18": section_14
+              "19": section_15
+      - name: labels
+        struct:
+          - name: 1d
+            dtype:
+              class_label:
+                names:
+                  "0": positive
+                  "1": negative
+          - name: 5d
+            dtype:
+              class_label:
+                names:
+                  "0": positive
+                  "1": negative
+          - name: 30d
+            dtype:
+              class_label:
+                names:
+                  "0": positive
+                  "1": negative
+      - name: filingDate
+        dtype: string
+      - name: docID
+        dtype: string
+      - name: sentenceID
+        dtype: string
+      - name: sentenceCount
+        dtype: int64
+    splits:
+      - name: train
+        num_bytes: 60681688
+        num_examples: 200000
+      - name: validation
+        num_bytes: 6677389
+        num_examples: 20000
+      - name: test
+        num_bytes: 6351730
+        num_examples: 20000
+    download_size: 42764380
+    dataset_size: 73710807
 ---
 
 # Dataset Card for [financial-reports-sec]
@@ -454,7 +478,7 @@ The dataset contains the annual report of US public firms filing with the SEC ED
 
 **Four** configurations are available:
 
-- _**lite**_:
+- _**large_lite**_:
   - Contains only the basic features needed. Extra metadata is ommitted.
   - Features List:
     - **cik**
@@ -462,7 +486,10 @@ The dataset contains the annual report of US public firms filing with the SEC ED
     - **section**
     - **labels**
     - **filingDate**
-- _**full**_:
+    - **docID**
+    - **sentenceID**
+    - **sentenceCount**
+- _**large_full**_:
   - All features are included.
   - Features List (excluding those already in the lite verison above):
     - **name**
@@ -477,9 +504,9 @@ The dataset contains the annual report of US public firms filing with the SEC ED
     - **reportDate**
     - **returns**
 - _**small_lite**_:
-  - Same as _**lite**_ version except that only (200,000/20,000/20,000) sentences are loaded for (train/test/validation) splits.
+  - Same as _**large_lite**_ version except that only (200,000/20,000/20,000) sentences are loaded for (train/test/validation) splits.
 - _**small_full**_:
-  - Same as _**full**_ version except that only (200,000/20,000/20,000) sentences are loaded for (train/test/validation) splits.
+  - Same as _**large_full**_ version except that only (200,000/20,000/20,000) sentences are loaded for (train/test/validation) splits.
 
 ### Usage
 
@@ -487,10 +514,10 @@ The dataset contains the annual report of US public firms filing with the SEC ED
 import datasets
 
 # Load the lite configuration of the dataset
-raw_dataset = datasets.load_dataset("JanosAudran/financial-reports-sec", "lite")
+raw_dataset = datasets.load_dataset("JanosAudran/financial-reports-sec", "large_lite")
 
 # Load a specific split
-raw_dataset = datasets.load_dataset("JanosAudran/financial-reports-sec", "full", split="train")
+raw_dataset = datasets.load_dataset("JanosAudran/financial-reports-sec", "small_full", split="train")
 ```
 
 ### Supported Tasks
@@ -560,6 +587,24 @@ Refer to dataset preview.
 - _string_
 - '2021-03-10'
 
+**docID**
+
+- Unique ID for identifying the exact 10-K filing. Unique across all configs and splits. Can be used to identify the document from which the sentence came from.
+- _string_
+- '0000001750_10-K_2020'
+
+**sentenceID**
+
+- Unique ID for identifying the exact sentence. Unique across all configs and splits.
+- _string_
+- '0000001750_10-K_2020_section_1_100'
+
+**sentenceCount**
+
+- Integer identiying the running sequence for the sentence. Unique **only** for a given config and split.
+- _string_
+- 123
+
 **name**
 
 - The name of the filing entity
@@ -651,8 +696,8 @@ Refer to dataset preview.
 
 | Config     |      train | validation |      test |
 | ---------- | ---------: | ---------: | --------: |
-| full       | 67,316,227 |  1,585,561 | 2,965,174 |
-| lite       | 67,316,227 |  1,585,561 | 2,965,174 |
+| large_full | 67,316,227 |  1,585,561 | 2,965,174 |
+| large_lite | 67,316,227 |  1,585,561 | 2,965,174 |
 | small_full |    200,000 |     20,000 |    20,000 |
 | small_lite |    200,000 |     20,000 |    20,000 |
 

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