Update files from the datasets library (from 1.4.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.4.0

README.md

@@ -27,7 +27,7 @@
   - [Citation Information](#citation-information)
   - [Contributions](#contributions)
 
-## [Dataset Description](#dataset-description)
+## Dataset Description
 
 - **Homepage:** [https://github.com/facebookresearch/DPR](https://github.com/facebookresearch/DPR)
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -37,25 +37,25 @@
 - **Size of the generated dataset:** 448718.73 MB
 - **Total amount of disk used:** 932739.13 MB
 
-### [Dataset Summary](#dataset-summary)
+### Dataset Summary
 
 This is the wikipedia split used to evaluate the Dense Passage Retrieval (DPR) model.
 It contains 21M passages from wikipedia along with their DPR embeddings.
 The wikipedia articles were split into multiple, disjoint text blocks of 100 words as passages.
 
-### [Supported Tasks](#supported-tasks)
+### Supported Tasks
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Languages](#languages)
+### Languages
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Dataset Structure](#dataset-structure)
+## Dataset Structure
 
 We show detailed information for up to 5 configurations of the dataset.
 
-### [Data Instances](#data-instances)
+### Data Instances
 
 #### psgs_w100.multiset.compressed
 
@@ -147,7 +147,7 @@ This example was too long and was cropped:
 }
 ```
 
-### [Data Fields](#data-fields)
+### Data Fields
 
 The data fields are the same among all splits.
 
@@ -181,7 +181,7 @@ The data fields are the same among all splits.
 - `title`: a `string` feature.
 - `embeddings`: a `list` of `float32` features.
 
-### [Data Splits Sample Size](#data-splits-sample-size)
+### Data Splits Sample Size
 
 |            name             | train  |
 |-----------------------------|-------:|
@@ -191,49 +191,49 @@ The data fields are the same among all splits.
 |psgs_w100.nq.compressed      |21015300|
 |psgs_w100.nq.exact           |21015300|
 
-## [Dataset Creation](#dataset-creation)
+## Dataset Creation
 
-### [Curation Rationale](#curation-rationale)
+### Curation Rationale
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Source Data](#source-data)
+### Source Data
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Annotations](#annotations)
+### Annotations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Personal and Sensitive Information](#personal-and-sensitive-information)
+### Personal and Sensitive Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Considerations for Using the Data](#considerations-for-using-the-data)
+## Considerations for Using the Data
 
-### [Social Impact of Dataset](#social-impact-of-dataset)
+### Social Impact of Dataset
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Discussion of Biases](#discussion-of-biases)
+### Discussion of Biases
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Other Known Limitations](#other-known-limitations)
+### Other Known Limitations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Additional Information](#additional-information)
+## Additional Information
 
-### [Dataset Curators](#dataset-curators)
+### Dataset Curators
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Licensing Information](#licensing-information)
+### Licensing Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Citation Information](#citation-information)
+### Citation Information
 
 ```
 

dummy/psgs_w100.multiset.compressed.no_embeddings/0.0.0/dummy_data.zip

@@ -0,0 +1,3 @@
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+size 1433

dummy/psgs_w100.multiset.exact.no_embeddings/0.0.0/dummy_data.zip

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+size 1413

dummy/psgs_w100.multiset.no_index.no_embeddings/0.0.0/dummy_data.zip

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+size 1121

dummy/psgs_w100.nq.compressed.no_embeddings/0.0.0/dummy_data.zip

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dummy/psgs_w100.nq.exact.no_embeddings/0.0.0/dummy_data.zip

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+size 1401

dummy/psgs_w100.nq.no_index.no_embeddings/0.0.0/dummy_data.zip

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+size 1121

wiki_dpr.py

@@ -1,4 +1,3 @@
-import logging
 import os
 
 import numpy as np
@@ -6,6 +5,9 @@ import numpy as np
 import datasets
 
 
+logger = datasets.logging.get_logger(__name__)
+
+
 _CITATION = """
 @misc{karpukhin2020dense,
     title={Dense Passage Retrieval for Open-Domain Question Answering},
@@ -60,13 +62,15 @@ class WikiDprConfig(datasets.BuilderConfig):
           **kwargs: keyword arguments forwarded to super.
         """
         self.with_embeddings = with_embeddings
-        self.with_index = with_index
+        self.with_index = with_index and index_name != "no_index"
         self.wiki_split = wiki_split
         self.embeddings_name = embeddings_name
         self.index_name = index_name if with_index else "no_index"
         self.index_train_size = index_train_size
         self.dummy = dummy
         name = [self.wiki_split, self.embeddings_name, self.index_name]
+        if not self.with_embeddings:
+            name.append("no_embeddings")
         if self.dummy:
             name = ["dummy"] + name
             assert (
@@ -92,10 +96,11 @@ class WikiDpr(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         WikiDprConfig(
             embeddings_name=embeddings_name,
-            with_index=(index_name != "no_index"),
+            with_embeddings=with_embeddings,
             index_name=index_name,
             version=datasets.Version("0.0.0"),
         )
+        for with_embeddings in (True, False)
         for embeddings_name in ("nq", "multiset")
         for index_name in ("exact", "compressed", "no_index")
     ]
@@ -149,7 +154,7 @@ class WikiDpr(datasets.GeneratorBasedBuilder):
             if self.config.with_embeddings:
                 if vec_idx >= len(vecs):
                     if len(vectors_files) == 0:
-                        logging.warning("Ran out of vector files at index {}".format(i))
+                        logger.warning("Ran out of vector files at index {}".format(i))
                         break
                     vecs = np.load(open(vectors_files.pop(0), "rb"), allow_pickle=True)
                     vec_idx = 0
@@ -192,12 +197,12 @@ class WikiDpr(datasets.GeneratorBasedBuilder):
 
                 d = 768
                 train_size = self.config.index_train_size
-                logging.info("Building wiki_dpr faiss index")
+                logger.info("Building wiki_dpr faiss index")
                 if self.config.index_name == "exact":
-                    index = faiss.IndexHNSWFlat(d, 128, faiss.METRIC_INNER_PRODUCT)
+                    index = faiss.IndexHNSWSQ(d, faiss.ScalarQuantizer.QT_8bit, 128, faiss.METRIC_INNER_PRODUCT)
                     index.hnsw.efConstruction = 200
                     index.hnsw.efSearch = 128
-                    dataset.add_faiss_index("embeddings", custom_index=index)
+                    dataset.add_faiss_index("embeddings", custom_index=index, train_size=train_size)
                 else:
                     quantizer = faiss.IndexHNSWFlat(d, 128, faiss.METRIC_INNER_PRODUCT)
                     quantizer.hnsw.efConstruction = 200
@@ -211,6 +216,6 @@ class WikiDpr(datasets.GeneratorBasedBuilder):
                         train_size=train_size,
                         custom_index=ivf_index,
                     )
-                logging.info("Saving wiki_dpr faiss index")
+                logger.info("Saving wiki_dpr faiss index")
                 dataset.save_faiss_index("embeddings", index_file)
         return dataset