File size: 3,477 Bytes
6e94fbe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 |
"""
long:
{
"document": "",
"question": "",
"long_answer_candidates": ["", "", ""],
"long_answer_candidate_index": 0
}
short:
{
"document": "",
"question": "",
"short_answer": ""
}
either:
{
"document": "",
"question": "",
"answer": ""
}
"""
import sys
import jsonlines
from datasets import load_dataset
from huggingface_hub import HfApi
def filter(raw, short_path, long_path, either_path):
fps = open(short_path, "a")
writers = jsonlines.Writer(fps)
fpl = open(long_path, "a")
writerl = jsonlines.Writer(fpl)
fpe = open(either_path, "a")
writere = jsonlines.Writer(fpe)
count = 0
long = []
short = []
either = []
for sample in raw:
try:
answer = ""
if sample["short_answers"][0]:
answer = sample["short_answers"][0]
short.append({
"document": sample["document"],
"question": sample["question"],
"short_answer": answer
})
if sample["long_answer_candidate_index"] != -1:
answer = sample["long_answer_candidates"][sample["long_answer_candidate_index"]] # long answer will have precedence over short answer
long.append({
"document": sample["document"],
"question": sample["question"],
"long_answer_candidates": sample["long_answer_candidates"],
"long_answer_candidate_index": sample["long_answer_candidate_index"]
})
if answer:
count += 1 # count only if there is an answer
either.append({
"document": sample["document"],
"question": sample["question"],
"answer": answer
})
except Exception as ex:
# raise ex
print("Exception: " + str(ex))
if (count + 1) % 1000 == 0:
writere.write_all(either)
either = []
if short:
writers.write_all(short)
short = []
if long:
writerl.write_all(long)
long = []
print("Done: " + str(count), end="\r")
if either:
writere.write_all(either)
either = []
if short:
writers.write_all(short)
short = []
if long:
writerl.write_all(long)
long = []
writere.close()
fpe.close()
writers.close()
fps.close()
writerl.close()
fpl.close()
if __name__ == "__main__":
if len(sys.argv) < 1:
raise AttributeError("Missing required argument: repository id")
repo = sys.argv[1]
api = HfApi()
train_data = load_dataset(repo, split="train", streaming=True)
filter(raw=train_data, short_path="data/short/train.jsonl", long_path="data/long/train.jsonl", either_path="data/either/train.jsonl")
val_data = load_dataset(repo, split="validation", streaming=True)
filter(raw=val_data, short_path="data/short/validation.jsonl", long_path="data/long/validation.jsonl", either_path="data/either/validation.jsonl")
api.upload_folder(
folder_path="data/",
repo_id=repo,
repo_type="dataset",
multi_commits=True,
multi_commits_verbose=True
)
|