diff --git a/README.md b/README.md
index b1a0946..e6cc74c 100644
--- a/README.md
+++ b/README.md
@@ -105,12 +105,12 @@ Input data format <a name="input"></a>
 
 The input file should list all completions in
 *lexicographical* order.
-For example, see the the file `test_data/trec05_efficiency_queries/trec05_efficiency_queries.completions`.
+For example, see the the file `test_data/trec_05_efficiency_queries/trec_05_efficiency_queries.completions`.
 
 The first column represent the
 ID of the completion; the other columns contain the
 tokens separated by white spaces.
-(The IDs for the file `trec05_efficiency_queries.completions` are
+(The IDs for the file `trec_05_efficiency_queries.completions` are
 fake, i.e., they do not take into account any
 particular assignment.)
 
@@ -119,49 +119,49 @@ preparing the datasets for indexing:
 
 1. The command
 	
-		$ extract_dict.py trec05_efficiency_queries/trec05_efficiency_queries.completions
+		$ extract_dict.py trec_05_efficiency_queries/trec_05_efficiency_queries.completions
 	
 	extract the dictionary
 from a file listing all completions in textual form.
 
 2. The command
 
-		$ python map_dataset.py trec05_efficiency_queries/trec05_efficiency_queries.completions
+		$ python map_dataset.py trec_05_efficiency_queries/trec_05_efficiency_queries.completions
 		
 	maps strings to integer ids.
 
 3. The command
 
-		$ python build_stats.py trec05_efficiency_queries/trec05_efficiency_queries.completions.mapped
+		$ python build_stats.py trec_05_efficiency_queries/trec_05_efficiency_queries.completions.mapped
 		
 	calulcates the dataset statistics.
 
 4. The command
 
-		$ python build_inverted_and_forward.py trec05_efficiency_queries/trec05_efficiency_queries.completions
+		$ python build_inverted_and_forward.py trec_05_efficiency_queries/trec_05_efficiency_queries.completions
 		
 	builds the inverted and forward files.
 
 If you run the scripts in the reported order, you will get:
 
-- `trec05_efficiency_queries.completions.dict`: lists all the distinct
+- `trec_05_efficiency_queries.completions.dict`: lists all the distinct
 tokens in the completions sorted in lexicographical
 order.
 
-- `trec05_efficiency_queries.completions.mapped`: lists all completions
+- `trec_05_efficiency_queries.completions.mapped`: lists all completions
 whose tokens have been mapped to integer ids
 as assigned by a lexicographically-sorted
 string dictionary (that should be built from the
-tokens listed in `trec05_efficiency_queries.completions.dict`).
+tokens listed in `trec_05_efficiency_queries.completions.dict`).
 Each completion terminates with the id `0`.
 
-- `trec05_efficiency_queries.completions.mapped.stats` contains some
+- `trec_05_efficiency_queries.completions.mapped.stats` contains some
 statistics about the datasets, needed to build
 the data structures more efficiently.
 
 - `trec05_efficiency_queries.completions.inverted` is the inverted file.
 
-- `trec05_efficiency_queries.completions.forward` is the forward file. Note that each list is *not* sorted, thus the lists are the same as the ones contained in `trec05_efficiency_queries.completions.mapped` but sorted in docID order.
+- `trec_05_efficiency_queries.completions.forward` is the forward file. Note that each list is *not* sorted, thus the lists are the same as the ones contained in `trec_05_efficiency_queries.completions.mapped` but sorted in docID order.
 
 Benchmarks <a name="benchmarks"></a>
 ----------
@@ -174,4 +174,4 @@ Live demo <a name="demo"></a>
 ----------
 
 Start the web server with the program `./web_server <port> <index_filename>` and access the demo at
-`localhost:<port>`.
\ No newline at end of file
+`localhost:<port>`.