diff --git a/alexi/label.py b/alexi/label.py
index 0db638e..b5afce9 100644
--- a/alexi/label.py
+++ b/alexi/label.py
@@ -26,7 +26,6 @@ def features(page: Sequence[T_obj]) -> Iterator[list[str]]:
         features.append("alpha=%s" % bool(word["text"].isalpha()))
         features.append("numdash=%s" % bool(NUMDASH.match(word["text"])))
         features.append("bold=%s" % bool("bold" in word["fontname"].lower()))
-        features.append("tag=%s" % word["segment"].partition("-")[2])
         features.append("size=%d" % (int(word["bottom"]) - int(word["top"])))
         yield features
 
diff --git a/alexi/models/crfseq.joblib.gz b/alexi/models/crfseq.joblib.gz
index bc23ad7..444ac6c 100644
Binary files a/alexi/models/crfseq.joblib.gz and b/alexi/models/crfseq.joblib.gz differ
diff --git a/data/redevances_page1.csv b/data/redevances_page1.csv
new file mode 100644
index 0000000..3f88355
--- /dev/null
+++ b/data/redevances_page1.csv
@@ -0,0 +1,419 @@
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diff --git a/scripts/train_crf_seq.py b/scripts/train_crf_seq.py
index 4bf0fde..61ff86c 100644
--- a/scripts/train_crf_seq.py
+++ b/scripts/train_crf_seq.py
@@ -1,7 +1,6 @@
 """Entrainer un CRF pour segmentation/identification"""
 
 import argparse
-import itertools
 from pathlib import Path
 
 import joblib  # type: ignore
@@ -15,9 +14,6 @@ def make_argparse():
     parser.add_argument(
         "--niter", default=100, type=int, help="Nombre d'iterations d'entrainement"
     )
-    parser.add_argument(
-        "--train-dev", action="store_true", help="Ajouter dev set au train set"
-    )
     parser.add_argument(
         "--c1", default=0.5, type=float, help="Coefficient de regularisation L1"
     )
@@ -57,11 +53,8 @@ def train(
 def main():
     parser = make_argparse()
     args = parser.parse_args()
-    train_set = load(Path("data/train").glob("*.csv"))
-    dev_set = load(Path("data/dev").glob("*.csv"))
-    if args.train_dev:
-        train_set = itertools.chain(train_set, dev_set)
-        dev_set = None
+    train_set = load(Path("data").glob("*.csv"))
+    dev_set = None
     crf = train(
         train_set,
         dev_set,