Datasets:

jackkuo
/

peS2o_v3_metadata

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text

 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+my_data/peS2o_v3/data/metadata/train-0000-of-0136.csv filter=lfs diff=lfs merge=lfs -text
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download_peS2o.py ADDED Viewed

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+from huggingface_hub import snapshot_download
+# 设置本地存储路径（自定义）
+local_dir = "./my_data/peS2o_v3"  # 替换为你想要的路径
+# 下载（支持断点续传）
+snapshot_download(
+    repo_id="allenai/peS2o",
+    repo_type="dataset",
+    allow_patterns=["data/v3/*"],  # 只下载 data/v3 下的文件
+    local_dir=local_dir,          # 自定义本地路径
+    resume_download=True,         # 启用断点续传
+    token="hf_xxxx",               # 你的 Hugging Face Token
+)

extract_metadata.py ADDED Viewed

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+import zstandard as zstd
+import json
+import csv
+import os
+def decompress_zst_file(zst_filename, output_filename):
+    # 打开 .zst 文件并解压
+    with open(zst_filename, 'rb') as zst_file:
+        dctx = zstd.ZstdDecompressor()
+        with open(output_filename, 'wb') as out_file:
+            dctx.copy_stream(zst_file, out_file)
+def extract_metadata_from_jsonl(jsonl_filename, csv_filename):
+    # 打开 .jsonl 文件并解析其中的每行 JSON 数据
+    with open(jsonl_filename, 'r') as jsonl_file:
+        # 创建 CSV 文件来存储解析的数据
+        with open(csv_filename, 'w', newline='', encoding='utf-8') as csv_file:
+            csv_writer = csv.DictWriter(csv_file, fieldnames=['id', 'source', 'version', 'added', 'created', 'title', 'abstract', 'sha1', 'sources', 's2fieldsofstudy', 'extfieldsofstudy', 'external_ids'])
+            csv_writer.writeheader()  # 写入表头
+            for line in jsonl_file:
+                try:
+                    data = json.loads(line)  # 解析每一行的 JSON 数据
+                    metadata = data.get('metadata', {})
+                    # 将 metadata 的值提取并写入 CSV 文件
+                    csv_writer.writerow({
+                        'id': data.get('id', ''),
+                        'source': data.get('source', ''),
+                        'version': data.get('version', ''),
+                        'added': data.get('added', ''),
+                        'created': data.get('created', ''),
+                        'title': metadata.get('title', ''),
+                        'abstract': metadata.get('abstract', ''),
+                        'sha1': metadata.get('sha1', ''),
+                        'sources': ', '.join(metadata.get('sources', [])),
+                        's2fieldsofstudy': ', '.join(metadata.get('s2fieldsofstudy', [])),
+                        'extfieldsofstudy': ', '.join(metadata.get('extfieldsofstudy', [])),
+                        'external_ids': ', '.join([f"{eid['source']}:{eid['id']}" for eid in metadata.get('external_ids', [])])
+                    })
+                except json.JSONDecodeError:
+                    print(f"Error decoding JSON in line: {line}")
+                except Exception as e:
+                    print(f"Error processing line: {line}, Error: {e}")
+def process_zst_files(directory, output_directory):
+    # 获取目录下所有 .zst 文件
+    done_file = []
+    for filename in os.listdir(directory):
+        if filename.endswith('.zst') and filename not in done_file:
+            zst_filepath = os.path.join(directory, filename)
+            jsonl_filename = os.path.splitext(zst_filepath)[0] + '.jsonl'
+            csv_filename = os.path.join(output_directory, os.path.splitext(filename)[0] + '.csv')
+            # 解压 .zst 文件
+            print(f"Decompressing {zst_filepath}...")
+            decompress_zst_file(zst_filepath, jsonl_filename)
+            # 提取 metadata 并保存到 CSV
+            print(f"Extracting metadata from {jsonl_filename} and saving to {csv_filename}...")
+            extract_metadata_from_jsonl(jsonl_filename, csv_filename)
+            # 删除解压后的 .jsonl 文件（可选）
+            os.remove(jsonl_filename)
+            done_file.append(filename)
+        print("done_file = ", done_file)
+if __name__ == '__main__':
+    # 设置您的 .zst 文件目录路径
+    input_directory = 'my_data/peS2o_v3/data/v3'
+    # 设置您想要保存 CSV 文件的输出目录路径
+    output_directory = 'my_data/peS2o_v3/data/metadata'
+    # 确保输出目录存在
+    if not os.path.exists(output_directory):
+        os.makedirs(output_directory)
+    # 处理目录中的所有 .zst 文件
+    process_zst_files(input_directory, output_directory)

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+id,source,version,added,created,title,abstract,sha1,sources,s2fieldsofstudy,extfieldsofstudy,external_ids
+93479125,pes2o/s2ag,v3-fos-license,2019-04-04T13:15:54.594Z,1989-06-01T00:00:00.000,MONOCLONAL ANTIBODIES: MOLECULAR PROBES FOR THE STUDY OF PHYTOCHROME *,"Phytochrome is a key pigment involved in the regulation of plant morphogenesis by light. This photoreceptor exists as a dimer whose monomeric polypeptides are 116-127 kDa, the size depending upon the species from which it is isolated (Vierstra et al., 1984). Phytochrome derives its unique spectral properties from a linear tetrapyrrole chromophore attached covalently to its apoprotein. Upon absorption of light, the morphogenically inactive redabsorbing form of this pigment (PI)? is photoconverted to the active far-red-absorbing form (Pfr). Conversely, when Pfr absorbs far-red light, it is photoconverted back to P,. The plant uses phytochrome in a number of ways to regulate its morphogenesis, in particular sensing light-to-dark transitions and the spectral distribution of incident light. For additional general background information, the reader is referred elsewhere (Smith and Morgan, 1983; Shropshire and Mohr, 1983; Kendrick and Kronenberg, 1986; Pratt and Cordonnier, 1989). The immediate molecular mechanism(s) by which phytochrome regulates the great diversity of developmental responses described in the literature (Shropshire and Mohr, 1983) is(are) still unknown. For many years, only the phytochrome which is most abundant in seedlings grown in complete darkness was studied. This phytochrome, referred to here as etiolated-plant phytochrome, was tacitly assumed to be responsible for all of the many physiological responses so far studied. Recently, however, evidence has been obtained that there exists more than one type of phytochrome. With respect to oats, the phytochrome that predominates in light-grown shoots, referred to here as greenplant phytochrome, has been found to differ both antigenically and spectrally from etiolated-plant phytochrome (Tokuhisa et al., 1985; Shimazaki and Pratt, 1985). A similar, although not identical situation has also been shown to exist in pea shoots (Shimazaki and Pratt, 1985; Abe et al., 1985). It seems reasonable to speculate that these two types of phytochrome might have different molecular functions. Knowledge of phytochrome structure and identification of the domains essential to its integrity and specific functions (e.g., photoconversion and Pfr stability) should give a clue to its primary mode of action. Unfortunately, the low abundance, large size, and lability of phytochrome complicate its analysis by conventional biochemical approaches. Because monoclonal antibodies (MAbs) recognize a single well-defined domain about 5-7 amino acids in size, and because they interact with that domain in a single well-defined way, they can be unique probes for studying structure-function relationships of a large molecule such as phytochrome. The first monoclonal antibodies to phytochrome were reported in a preliminary communication seven years ago (Cordonnier et al . , 1982). Since then, it seems that more MAbs have been raised against phytochrome than against any other plant antigen. The first two attempts resulted in production of. MAbs to both pea and oat phytochrome (Cordonnier et al., 1983) and rye phytochrome (Nagatani et al., 1983). A number of papers have already reviewed some aspects of the production and use of MAbs for the study of phytochrome (Cordonnier, 1987; Nagatani et al., 1987; Schneider, 1988; Thomas et al., 1988). The goal of this review is to provide a comprehensive overview of the total MAb library so far developed, together with a summary of the functional and structural studies for which these MAbs have so far been used (Table 1). Methods used in each of these applications will not be discussed. For further details the reader may refer to other reviews (Pratt et al., 1986; Thomas el al., 1988).",b87ac8fdeb2eeada6311af593e3618d4dcebc50f,"MAG, Unpaywall, MergedPDFExtraction, Wiley","Biology, Chemistry",Chemistry,"DOI:10.1111/j.1751-1097.1989.tb05579.x, MAG:1988816168"
+640625,pes2o/s2ag,v3-fos-license,2017-02-19T08:09:18.630Z,1990-12-01T00:00:00.000,Future directions in engineering education: a view from industry and academia,"A scenario of the environment that an engineer of the future will encounter is presented, and some major future trends and their impact on education are discussed. Proposals for an approach to undergraduate education are made in the context of this scenario. Graduate education, continuing education, and industry-university relationship are also discussed.<<ETX>>",7f9d562159a0d6a26c69832b2a7ac211d0df9f9d,"IEEE, MAG, ScienceParseMerged, Unpaywall, DBLP","Education, Engineering",Computer Science,"DOI:10.1109/35.61717, MAG:2092558434"

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