Delete dataset_dict.py

dataset_dict.py

@@ -1,44 +0,0 @@
-import os
-import json
-import datasets
-
-class MixBench(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        return datasets.DatasetInfo(
-            features=datasets.Features({
-                "query_id": datasets.Value("string"),
-                "query_text": datasets.Value("string"),
-                "query_image": datasets.Value("string"),
-                "corpus_id": datasets.Value("string"),
-                "corpus_text": datasets.Value("string"),
-                "corpus_image": datasets.Value("string"),
-                "score": datasets.Value("int32")
-            })
-        )
-
-    def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(self.config.data_dir)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"data_dir": data_dir}
-            )
-        ]
-
-    def _generate_examples(self, data_dir):
-        with open(os.path.join(data_dir, "queries.jsonl")) as fq:
-            queries = {q["query_id"]: q for q in map(json.loads, fq)}
-        with open(os.path.join(data_dir, "corpus.jsonl")) as fc:
-            corpus = {c["corpus_id"]: c for c in map(json.loads, fc)}
-        with open(os.path.join(data_dir, "qrels.tsv")) as fr:
-            for idx, line in enumerate(fr):
-                qid, cid, score = line.strip().split("\t")
-                yield idx, {
-                    "query_id": qid,
-                    "query_text": queries[qid].get("text", ""),
-                    "query_image": queries[qid].get("image", ""),
-                    "corpus_id": cid,
-                    "corpus_text": corpus[cid].get("text", ""),
-                    "corpus_image": corpus[cid].get("image", ""),
-                    "score": int(score)
-                }