From b70980d6017d8e8d505fde17f8cc9fe595be13bc Mon Sep 17 00:00:00 2001
From: "Anna V. Kozlova" <you@example.com>
Date: Thu, 28 Dec 2017 14:20:21 +0300
Subject: [PATCH] Tiny fixes.

---
 week3/week3-Embeddings.ipynb | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/week3/week3-Embeddings.ipynb b/week3/week3-Embeddings.ipynb
index 66f394d8..b6d392c0 100644
--- a/week3/week3-Embeddings.ipynb
+++ b/week3/week3-Embeddings.ipynb
@@ -823,7 +823,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Task 4 (W2VTokenizedRanks).** For each question from *test.tsv* submit the ranks of the candidates to earn the points. It should take about 3-5 minutes. Pay attention that the function *rank_candidates* returns a ranking, while in this case you should find a position in this ranking. Ranks should start with 1."
+    "**Task 4 (W2VTokenizedRanks).** For each question from tokenized *test.tsv* submit the ranks of the candidates to earn the points. It should take about 3-5 minutes. Pay attention that the function *rank_candidates* returns a ranking, while in this case you should find a position in this ranking. Ranks should start with 1."
    ]
   },
   {
@@ -846,7 +846,8 @@
    "outputs": [],
    "source": [
     "w2v_ranks_results = []\n",
-    "for line in open('test_tokenized.txt'):\n",
+    "tokenized_test_data = ######### YOUR CODE HERE #############\n",
+    "for line in open(tokenized_test_data):\n",
     "    q, *ex = line.strip().split('\\t')\n",
     "    ranks = rank_candidates(q, ex, wv_embeddings, 300)\n",
     "    ranked_candidates = [r[0] for r in ranks]\n",
@@ -1039,7 +1040,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.4.3"
   }
  },
  "nbformat": 4,