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diff --git a/README.md b/README.md
index a909831a4afd66ddcc8ebb3bcad5b7bcd61915ca..b42971745e7b7f5cf202c88ed52ae488c8714a05 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,7 @@
 ---
-license: cc-by-4.0
+license:
+- cc-by-4.0
+- cc-by-sa-3.0
 task_categories:
 - question-answering
 - automatic-speech-recognition
@@ -27,7 +29,7 @@ language:
 - ur
 pretty_name: Simple Voice Questions
 size_categories:
-- 100K<n<1M
+- 10M<n<100M
 configs:
 - config_name: audio
   features:
@@ -255,6 +257,87 @@ configs:
   data_files:
   - split: test
     path: 2.0.0/utts_en_us_clean.parquet
+- config_name: document_retrieval_cross_lang_ar_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_ar_index-*.parquet
+- config_name: document_retrieval_cross_lang_bn_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_bn_index-*.parquet
+- config_name: document_retrieval_cross_lang_en_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_en_index-*.parquet
+- config_name: document_retrieval_cross_lang_fi_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_fi_index-*.parquet
+- config_name: document_retrieval_cross_lang_id_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_id_index-*.parquet
+- config_name: document_retrieval_cross_lang_ko_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_ko_index-*.parquet
+- config_name: document_retrieval_cross_lang_ru_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_ru_index-*.parquet
+- config_name: document_retrieval_cross_lang_sw_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_sw_index-*.parquet
+- config_name: document_retrieval_cross_lang_te_index
+  features:
+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
+  data_files:
+  - split: test
+    path: 2.0.0/document_retrieval_cross_lang_te_index-*.parquet
 - config_name: document_retrieval_cross_lang_small_index
   data_files:
   - split: test
@@ -326,6 +409,37 @@ as an undivided evaluation set. Users intending to train models with this data w
 splitting strategies, keeping in mind the inherent trade-offs between data volume and strict speaker/text disjointness
 if they attempt to replicate such conditions.
 
+## Document Retrieval Indexes
+
+The full document retrieval indexes are Wikipedia articles from the
+2019-03-01 dump, as prepared by
+[TensorFlow Datasets](https://www.tensorflow.org/datasets/catalog/wikipedia)
+(`wikipedia/20190301.<lang>`, version 1.0.0). There is one index per language
+used by the document retrieval tasks:
+
+| Language | Config | Shards | Articles |
+| :--- | :--- | ---: | ---: |
+| ar | `document_retrieval_cross_lang_ar_index` | 16 | 1,272,226 |
+| bn | `document_retrieval_cross_lang_bn_index` | 4 | 87,566 |
+| en | `document_retrieval_cross_lang_en_index` | 256 | 5,824,596 |
+| fi | `document_retrieval_cross_lang_fi_index` | 8 | 619,207 |
+| id | `document_retrieval_cross_lang_id_index` | 8 | 947,627 |
+| ko | `document_retrieval_cross_lang_ko_index` | 8 | 980,493 |
+| ru | `document_retrieval_cross_lang_ru_index` | 64 | 2,449,364 |
+| sw | `document_retrieval_cross_lang_sw_index` | 1 | 48,434 |
+| te | `document_retrieval_cross_lang_te_index` | 8 | 91,857 |
+
+The files are `2.0.0/document_retrieval_cross_lang_<lang>_index-NNNNN-of-MMMMM.parquet`
+with columns `title` and `text` (cleaned plain-text article body). The cross-lang
+document retrieval tasks use the `en` index; the in-lang document retrieval tasks
+use the index of the query language. The original TFDS metadata of all
+languages is in `2.0.0/document_retrieval_cross_lang_index_dataset_info.json`.
+
+**License:** Unlike the rest of this dataset, the Wikipedia document indexes are
+licensed under the
+[Creative Commons Attribution-ShareAlike 3.0 Unported License](http://creativecommons.org/licenses/by-sa/3.0/)
+(see `2.0.0/document_retrieval_cross_lang_index_LICENSE`).
+
 ## Citation
 
 If you use this dataset, please cite the MSEB paper: