Convert dataset to Parquet (part 00001-of-00002) (#8)

- Convert dataset to Parquet (part 00001-of-00002) (01c88344acd2525eeec9ae5aaaf375f77f452777)
- Add 'a' config data files (26935078c2b0c76e2a51dd6988f5da281639c855)
- Add 'b' config data files (3dda467394f2a7ab6c80caa4ece1c14c523e67cf)
- Add 'c' config data files (4702f95a82902956b5c24c0fdec1d55589760ba6)
- Add 'd' config data files (5ea2c6d74fad6da57cb919aa1d96e91ac0089610)
- Add 'e' config data files (c588b340fd24cee9dc688e90857cc1ac8381ab22)
- Add 'f' config data files (31d5688cf6430c7f84f21390d8b4dd99d72abfb3)
- Add 'g' config data files (0c45ac3a09f8065534e4c0d8f07074f3a1a905b2)
- Add 'h' config data files (8c9aec8b0ffcb676744940ba07887eda1d9f7f79)
- Add 'y' config data files (db3f656b2e46e29f70bd25575f1b9e4be36ffd2d)
- Delete loading script (c51813936e64651d2ad96fd1fde7bf7d170bcc29)
- Delete data file (49908fa99208cc0f0f83c3b186382b771ad4c3fa)
- Delete data file (ce56ffff249d7e48ce1840b61e83ac50a3516b87)
- Delete data file (bf2f14c8df951d67cc90fbd77ba582560d074bd4)
- Delete data file (a450b98470ba22a73a405bca0729d6ffc0fb2cc5)
- Delete data file (fd08d9a270cfd85a4619b98d1d7e7fd937f29d74)
- Delete data file (3e0c91325560d2052cd84767fbe169f8e46387aa)
- Update README.md (161f0b3523096fd4e99830233a0a243e6cfc2096)


Co-authored-by: Quentin Lhoest <[email protected]>

README.md

@@ -23,7 +23,7 @@ pretty_name: Big Patent
 tags:
 - patent-summarization
 dataset_info:
-- config_name: all
+- config_name: a
   features:
   - name: description
     dtype: string
@@ -31,17 +31,18 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 38367048389
-    num_examples: 1207222
+    num_bytes: 5683460620
+    num_examples: 174134
   - name: validation
-    num_bytes: 2115827002
-    num_examples: 67068
+    num_bytes: 313324505
+    num_examples: 9674
   - name: test
-    num_bytes: 2129505280
-    num_examples: 67072
-  download_size: 10142923776
-  dataset_size: 42612380671
-- config_name: a
+    num_bytes: 316633277
+    num_examples: 9675
+  download_size: 2622492121
+  dataset_size: 6313418402
+- config_name: all
+  default: true
   features:
   - name: description
     dtype: string
@@ -49,16 +50,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 5683460620
-    num_examples: 174134
+    num_bytes: 38367048389
+    num_examples: 1207222
   - name: validation
-    num_bytes: 313324505
-    num_examples: 9674
+    num_bytes: 2115827002
+    num_examples: 67068
   - name: test
-    num_bytes: 316633277
-    num_examples: 9675
-  download_size: 10142923776
-  dataset_size: 6313418402
+    num_bytes: 2129505280
+    num_examples: 67072
+  download_size: 17096051620
+  dataset_size: 42612380671
 - config_name: b
   features:
   - name: description
@@ -75,7 +76,7 @@ dataset_info:
   - name: test
     num_bytes: 231538734
     num_examples: 8974
-  download_size: 10142923776
+  download_size: 1955712179
   dataset_size: 4702034848
 - config_name: c
   features:
@@ -93,7 +94,7 @@ dataset_info:
   - name: test
     num_bytes: 252566793
     num_examples: 5614
-  download_size: 10142923776
+  download_size: 1919166981
   dataset_size: 5003500874
 - config_name: d
   features:
@@ -111,7 +112,7 @@ dataset_info:
   - name: test
     num_bytes: 14403430
     num_examples: 565
-  download_size: 10142923776
+  download_size: 123268328
   dataset_size: 293681324
 - config_name: e
   features:
@@ -129,7 +130,7 @@ dataset_info:
   - name: test
     num_bytes: 48586429
     num_examples: 1914
-  download_size: 10142923776
+  download_size: 412277995
   dataset_size: 978334020
 - config_name: f
   features:
@@ -147,7 +148,7 @@ dataset_info:
   - name: test
     num_bytes: 119596303
     num_examples: 4754
-  download_size: 10142923776
+  download_size: 974406682
   dataset_size: 2385612407
 - config_name: g
   features:
@@ -165,7 +166,7 @@ dataset_info:
   - name: test
     num_bytes: 496324853
     num_examples: 14386
-  download_size: 10142923776
+  download_size: 3923986648
   dataset_size: 9866760236
 - config_name: h
   features:
@@ -183,7 +184,7 @@ dataset_info:
   - name: test
     num_bytes: 445460513
     num_examples: 14279
-  download_size: 10142923776
+  download_size: 3471504387
   dataset_size: 8968684827
 - config_name: y
   features:
@@ -201,19 +202,90 @@ dataset_info:
   - name: test
     num_bytes: 204394948
     num_examples: 6911
-  download_size: 10142923776
+  download_size: 1693564116
   dataset_size: 4100353733
-config_names:
-- a
-- all
-- b
-- c
-- d
-- e
-- f
-- g
-- h
-- y
+configs:
+- config_name: a
+  data_files:
+  - split: train
+    path: a/train-*
+  - split: validation
+    path: a/validation-*
+  - split: test
+    path: a/test-*
+- config_name: all
+  data_files:
+  - split: train
+    path: all/train-*
+  - split: validation
+    path: all/validation-*
+  - split: test
+    path: all/test-*
+  default: true
+- config_name: b
+  data_files:
+  - split: train
+    path: b/train-*
+  - split: validation
+    path: b/validation-*
+  - split: test
+    path: b/test-*
+- config_name: c
+  data_files:
+  - split: train
+    path: c/train-*
+  - split: validation
+    path: c/validation-*
+  - split: test
+    path: c/test-*
+- config_name: d
+  data_files:
+  - split: train
+    path: d/train-*
+  - split: validation
+    path: d/validation-*
+  - split: test
+    path: d/test-*
+- config_name: e
+  data_files:
+  - split: train
+    path: e/train-*
+  - split: validation
+    path: e/validation-*
+  - split: test
+    path: e/test-*
+- config_name: f
+  data_files:
+  - split: train
+    path: f/train-*
+  - split: validation
+    path: f/validation-*
+  - split: test
+    path: f/test-*
+- config_name: g
+  data_files:
+  - split: train
+    path: g/train-*
+  - split: validation
+    path: g/validation-*
+  - split: test
+    path: g/test-*
+- config_name: h
+  data_files:
+  - split: train
+    path: h/train-*
+  - split: validation
+    path: h/validation-*
+  - split: test
+    path: h/test-*
+- config_name: y
+  data_files:
+  - split: train
+    path: y/train-*
+  - split: validation
+    path: y/validation-*
+  - split: test
+    path: y/test-*
 ---
 
 # Dataset Card for Big Patent
@@ -272,14 +344,21 @@ from datasets import load_dataset
 ds = load_dataset("big_patent")  # default is 'all' CPC codes
 ds = load_dataset("big_patent", "all")  # the same as above
 ds = load_dataset("big_patent", "a")  # only 'a' CPC codes
-ds = load_dataset("big_patent", codes=["a", "b"])
+
+from datasets import concatenate_datasets
+
+# Concatenate multiple codes
+ds = concatenate_datasets([
+    load_dataset("big_patent", "a", split="train"),
+    load_dataset("big_patent", "b", split="train"),
+])
 ```
 
-To use 1.0.0 version (lower cased tokenized words), pass both parameters `codes` and `version`:
+To use 1.0.0 version (lower cased tokenized words), use an older revision of this dataset and pass both parameters `codes` and `version`:
 ```python
-ds = load_dataset("big_patent", codes="all", version="1.0.0")
-ds = load_dataset("big_patent", codes="a", version="1.0.0")
-ds = load_dataset("big_patent", codes=["a", "b"], version="1.0.0")
+revision = "e807b1d5492aa5f4fac08f3f6c7c85c72887ca12"
+ds = load_dataset("big_patent", codes="all", version="1.0.0", revision=revision)
+ds = load_dataset("big_patent", codes="a", version="1.0.0", revision=revision)
 ```
 
 

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data/2.1.2/val.zip → a/train-00001-of-00012.parquet

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