query tables and create example

.gitattributes

@@ -0,0 +1,10 @@
+public/ancestor_children.parquet filter=lfs diff=lfs merge=lfs -text
+public/datasets.parquet filter=lfs diff=lfs merge=lfs -text
+public/models.parquet filter=lfs diff=lfs merge=lfs -text
+public/parents.parquet filter=lfs diff=lfs merge=lfs -text
+public/spaces.parquet filter=lfs diff=lfs merge=lfs -text
+tables/ancestor_children.parquet filter=lfs diff=lfs merge=lfs -text
+tables/datasets.parquet filter=lfs diff=lfs merge=lfs -text
+tables/models.parquet filter=lfs diff=lfs merge=lfs -text
+tables/spaces.parquet filter=lfs diff=lfs merge=lfs -text
+tables/parents.parquet filter=lfs diff=lfs merge=lfs -text

content/data.json

@@ -19,3 +19,4 @@
         }
     ]
 }
+    

python/0_download_files.py

@@ -0,0 +1,103 @@
+import os
+import requests
+from concurrent.futures import ThreadPoolExecutor
+from tqdm import tqdm
+import duckdb
+import random
+import argparse
+import yaml
+
+# Create the "tables" folders if they don't exist
+os.makedirs("tables", exist_ok=True)
+
+# URLs of the files to download
+urls = [
+    "https://huggingface.co/datasets/cfahlgren1/hub-stats/resolve/main/models.parquet?download=true",
+    "https://huggingface.co/datasets/cfahlgren1/hub-stats/resolve/main/datasets.parquet?download=true",
+    "https://huggingface.co/datasets/cfahlgren1/hub-stats/resolve/main/spaces.parquet?download=true"
+]
+
+def download_file(url, overwrite=True):
+    filename = os.path.join("tables", url.split("/")[-1].split("?")[0])
+    
+    if not overwrite and os.path.exists(filename):
+        print(f"File already exists: {filename}. Skipping download.")
+        return
+
+    response = requests.get(url, stream=True)
+    total_size = int(response.headers.get("Content-Length", 0))
+    block_size = 1024  # 1 KB
+
+    with open(filename, "wb") as file, tqdm(
+        desc=filename,
+        total=total_size,
+        unit="iB",
+        unit_scale=True,
+        unit_divisor=1024,
+        bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]"
+    ) as progress_bar:
+        for data in response.iter_content(block_size):
+            size = file.write(data)
+            progress_bar.update(size)
+
+    print(f"Downloaded: {filename}")
+
+def main(overwrite):
+    # Create a ThreadPoolExecutor with max_workers set to 3 (number of files to download)
+    with ThreadPoolExecutor(max_workers=3) as executor:
+        # Submit download tasks to the executor
+        futures = [executor.submit(download_file, url, overwrite) for url in urls]
+
+        # Wait for all tasks to complete
+        for future in futures:
+            future.result()
+
+    print("All files downloaded successfully.")
+
+    # Process each downloaded Parquet file
+    for url in urls:
+        filename = os.path.join("tables", url.split("/")[-1].split("?")[0])
+        table_name = os.path.splitext(os.path.basename(filename))[0]
+
+        # Connect to the Parquet file using DuckDB
+        con = duckdb.connect(database=':memory:')
+        con.execute(f"CREATE VIEW {table_name} AS SELECT * FROM parquet_scan('{filename}')")
+
+        # Retrieve the table structure
+        table_structure = con.execute(f"DESCRIBE {table_name}").fetchall()
+
+        # Generate the YAML content
+        yaml_content = f"{table_name}:\n"
+        yaml_content += "  table_structure:\n"
+        for row in table_structure:
+            column, dtype = row[:2]  # Unpack only the first two values
+            yaml_content += f"    - column: {column}\n"
+            yaml_content += f"      type: {dtype}\n"
+
+        # Retrieve 10 random items from the table
+        con.execute(f"CREATE VIEW {table_name}_random AS SELECT * FROM {table_name} ORDER BY RANDOM() LIMIT 10")
+        random_items = con.execute(f"SELECT * FROM {table_name}_random").fetchall()
+
+        yaml_content += "  random_items:\n"
+        for item in random_items:
+            yaml_content += "    - "
+            for column, value in zip([row[0] for row in table_structure], item):
+                yaml_content += f"{column}: {value}\n      "
+            yaml_content = yaml_content.rstrip()  # Remove trailing spaces
+            yaml_content += "\n"
+
+        # Save the YAML content to a file in the "tables" folder
+        yaml_file = os.path.join("tables", f"{table_name}.example.yaml")
+        with open(yaml_file, "w") as file:
+            file.write(yaml_content)
+
+        print(f"Generated: {yaml_file}")
+
+    print("Example files generated successfully.")
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Download and process Parquet files.")
+    parser.add_argument("--no-overwrite", action="store_true", help="Skip downloading files that already exist.")
+    args = parser.parse_args()
+
+    main(overwrite=not args.no_overwrite)

python/1_ancestors.py

@@ -0,0 +1 @@
+``

requirements.txt

@@ -0,0 +1,3 @@
+requests
+tqdm
+duckdb

tables/datasets.example.yaml

@@ -0,0 +1,250 @@
+datasets:
+  table_structure:
+    - column: _id
+      type: VARCHAR
+    - column: id
+      type: VARCHAR
+    - column: author
+      type: VARCHAR
+    - column: cardData
+      type: VARCHAR
+    - column: disabled
+      type: BOOLEAN
+    - column: gated
+      type: VARCHAR
+    - column: lastModified
+      type: VARCHAR
+    - column: likes
+      type: BIGINT
+    - column: trendingScore
+      type: DOUBLE
+    - column: private
+      type: BOOLEAN
+    - column: sha
+      type: VARCHAR
+    - column: description
+      type: VARCHAR
+    - column: downloads
+      type: BIGINT
+    - column: tags
+      type: VARCHAR[]
+    - column: createdAt
+      type: VARCHAR
+    - column: key
+      type: VARCHAR
+    - column: paperswithcode_id
+      type: VARCHAR
+    - column: citation
+      type: VARCHAR
+  random_items:
+    - _id: 64c38c73a8de22f7a1a6c7e1
+      id: C-MTEB/EcomRetrieval-qrels
+      author: C-MTEB
+      cardData: {"configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}]}], "dataset_info": {"features": [{"name": "qid", "dtype": "string"}, {"name": "pid", "dtype": "string"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 27890, "num_examples": 1000}], "download_size": 14540, "dataset_size": 27890}}
+      disabled: False
+      gated: False
+      lastModified: 2023-07-28T09:37:58.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 39c90699b034ec22ac45b3abf5b0bbb5ffd421f9
+      description: 
+	
+		
+	
+	
+		Dataset Card for "EcomRetrieval-qrels"
+	
+
+More Information needed
+
+      downloads: 2893
+      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-07-28T09:37:55.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 6571a64493ea01156d9c5f2b
+      id: topeomole/fin
+      author: topeomole
+      cardData: None
+      disabled: False
+      gated: False
+      lastModified: 2023-12-29T08:49:31.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 6e68c3a7cce23e0e650997d672fbef009b14af32
+      description: None
+      downloads: 0
+      tags: ['size_categories:10K<n<100K', 'format:csv', 'modality:text', 'library:datasets', 'library:dask', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-12-07T11:02:28.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 659193db35c41262d6a53f71
+      id: greathero/evenmorex11-newthreeclass-newercontrailsvalidationdataset
+      author: greathero
+      cardData: {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 162552, "num_examples": 9}], "download_size": 38146, "dataset_size": 162552}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
+      disabled: False
+      gated: False
+      lastModified: 2023-12-31T19:12:42.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: b7b5c1282518329689aba655335e218e79831e97
+      description: None
+      downloads: 0
+      tags: ['size_categories:n<1K', 'format:parquet', 'modality:image', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-12-31T16:16:27.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 62d3dd1ac85b0fcf7fd98c9d
+      id: Maxmioti/GDRP-fines
+      author: Maxmioti
+      cardData: {"license": "other"}
+      disabled: False
+      gated: False
+      lastModified: 2022-07-17T10:03:34.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 85b9612b440ac0158d5722d0d45b849a012468ec
+      description: Opensource DataSet form a Kaggle competition https://www.kaggle.com/datasets/andreibuliga1/gdpr-fines-20182020-updated-23012021
+GDPR-fines is a dataset with summary of GDPR cases from companies that were find between 2018 and 2021. You will find the summary plus the Articles violated in the cases (3 most importants + "Others" regrouping the rest of articles).
+Raw text and lemmatized text available plus multi-labels.
+
+      downloads: 0
+      tags: ['license:other', 'size_categories:n<1K', 'format:csv', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2022-07-17T09:57:46.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 65f4980b0a4480a3d52dbbf3
+      id: reach-vb/mls-eng-10k-repunct-test-v4
+      author: reach-vb
+      cardData: {"dataset_info": {"features": [{"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "book_id", "dtype": "string"}, {"name": "repunct_text", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 2182587, "num_examples": 3807}], "download_size": 1221776, "dataset_size": 2182587}, "configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}]}]}
+      disabled: False
+      gated: False
+      lastModified: 2024-03-15T18:48:45.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 0f7c184d7e9f0f69babcca664bac0fcda107ef17
+      description: None
+      downloads: 0
+      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-03-15T18:48:43.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 661fa0bcb0e9b7e049a9202b
+      id: atluzz/train_doc_en_jsonl
+      author: atluzz
+      cardData: {"license": "apache-2.0"}
+      disabled: False
+      gated: False
+      lastModified: 2024-04-24T10:38:19.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 5aba071b4fb548841207b134d5f22f981a3ba89b
+      description: None
+      downloads: 0
+      tags: ['license:apache-2.0', 'size_categories:n<1K', 'format:json', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-04-17T10:13:16.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 662ed2502e1ed663bc3570c9
+      id: leharris3/airline_reviews_servq
+      author: leharris3
+      cardData: {"license": "mit"}
+      disabled: False
+      gated: False
+      lastModified: 2024-04-30T00:16:58.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: cf7deac5762779e544ed94d8445d074725d42cd3
+      description: None
+      downloads: 0
+      tags: ['license:mit', 'size_categories:10K<n<100K', 'format:csv', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-04-28T22:48:48.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 6670d2f2b0cc541843371fb4
+      id: rahulsikder223/SentEval-CR
+      author: rahulsikder223
+      cardData: {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 288477.7054304636, "num_examples": 2642}, {"name": "test", "num_bytes": 123711.29456953642, "num_examples": 1133}], "download_size": 246421, "dataset_size": 412189}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}]}
+      disabled: False
+      gated: False
+      lastModified: 2024-06-18T00:40:19.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: b092bc7763a0514f2c454d001abdfbf138a6be74
+      description: This is the SentEval Customer Reviews dataset which has been divided into train and test splits. Here, the labels are binary where 1 corresponds to 'Positive Reviews' and 0 corresponds to 'Negative Reviews'.
+
+      downloads: 18
+      tags: ['size_categories:1K<n<10K', 'format:parquet', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2024-06-18T00:21:06.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 6412397cbf081e031e9391a7
+      id: fathyshalab/reklamation24_wasser-strom-gas-intent
+      author: fathyshalab
+      cardData: {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 203230, "num_examples": 383}, {"name": "test", "num_bytes": 52516, "num_examples": 96}], "download_size": 142247, "dataset_size": 255746}}
+      disabled: False
+      gated: False
+      lastModified: 2023-03-15T22:09:40.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: c8d8322e9e75b8c81eb9b31eb4f4ad9a420f6dbb
+      description: 
+	
+		
+	
+	
+		Dataset Card for "reklamation24_wasser-strom-gas-intent"
+	
+
+More Information needed
+
+      downloads: 0
+      tags: ['size_categories:n<1K', 'format:parquet', 'modality:tabular', 'modality:text', 'library:datasets', 'library:pandas', 'library:mlcroissant', 'library:polars', 'region:us']
+      createdAt: 2023-03-15T21:32:44.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None
+    - _id: 66071d3e8ea886bc670da278
+      id: BangumiBase/saijakutamerwagomihiroinotabiwohajimemashita
+      author: BangumiBase
+      cardData: {"license": "mit", "tags": ["art"], "size_categories": ["1K<n<10K"]}
+      disabled: False
+      gated: False
+      lastModified: 2024-03-30T01:28:15.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: ecf08621c8d5dc8d1051abdad6568f99e20b9bd0
+      description: 
+	
+		
+	
+	
+		Bangumi Image Base of Saijaku Tamer Wa Gomi Hiroi No Tabi Wo Hajimemashita
+	
+
+This is the image base of bangumi Saijaku Tamer wa Gomi Hiroi no Tabi wo Hajimemashita, we detected 81 characters, 6058 images in total. The full dataset is here.
+Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/saijakutamerwagomihiroinotabiwohajimemashita.
+      downloads: 0
+      tags: ['license:mit', 'size_categories:1K<n<10K', 'modality:image', 'region:us', 'art']
+      createdAt: 2024-03-29T19:57:50.000Z
+      key: 
+      paperswithcode_id: None
+      citation: None

tables/datasets.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f458a5fad072a8d5a556a0fb6299c9aff4b8aba3ae109e6ee73075a3a91f7058
+size 123482092

tables/models.example.yaml

@@ -0,0 +1,219 @@
+models:
+  table_structure:
+    - column: _id
+      type: VARCHAR
+    - column: id
+      type: VARCHAR
+    - column: author
+      type: VARCHAR
+    - column: gated
+      type: VARCHAR
+    - column: inference
+      type: VARCHAR
+    - column: lastModified
+      type: VARCHAR
+    - column: likes
+      type: BIGINT
+    - column: trendingScore
+      type: DOUBLE
+    - column: private
+      type: BOOLEAN
+    - column: sha
+      type: VARCHAR
+    - column: config
+      type: VARCHAR
+    - column: downloads
+      type: BIGINT
+    - column: tags
+      type: VARCHAR[]
+    - column: pipeline_tag
+      type: VARCHAR
+    - column: library_name
+      type: VARCHAR
+    - column: createdAt
+      type: VARCHAR
+    - column: modelId
+      type: VARCHAR
+    - column: siblings
+      type: STRUCT(rfilename VARCHAR)[]
+  random_items:
+    - _id: 66321a3e7d91899de9021e46
+      id: miittnnss/portrait-ddim
+      author: miittnnss
+      gated: False
+      inference: library-not-detected
+      lastModified: 2024-05-01T10:32:31.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 44692f50ff19ce315581579f0f52b99a6c36b76a
+      config: None
+      downloads: 0
+      tags: ['region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2024-05-01T10:32:30.000Z
+      modelId: miittnnss/portrait-ddim
+      siblings: [{'rfilename': '.gitattributes'}]
+    - _id: 66b8dabd8016acd77e3d7e18
+      id: shayekh/aya8b-distillkit-logits
+      author: shayekh
+      gated: False
+      inference: library-not-detected
+      lastModified: 2024-08-11T20:09:50.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 22c2dda1271718c412366b58923f352468ff3847
+      config: None
+      downloads: 0
+      tags: ['safetensors', 'license:cc-by-nc-4.0', 'region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2024-08-11T15:37:33.000Z
+      modelId: shayekh/aya8b-distillkit-logits
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'checkpoint-1000/added_tokens.json'}, {'rfilename': 'checkpoint-1000/config.json'}, {'rfilename': 'checkpoint-1000/generation_config.json'}, {'rfilename': 'checkpoint-1000/merges.txt'}, {'rfilename': 'checkpoint-1000/model.safetensors'}, {'rfilename': 'checkpoint-1000/optimizer.pt'}, {'rfilename': 'checkpoint-1000/rng_state.pth'}, {'rfilename': 'checkpoint-1000/scheduler.pt'}, {'rfilename': 'checkpoint-1000/special_tokens_map.json'}, {'rfilename': 'checkpoint-1000/tokenizer.json'}, {'rfilename': 'checkpoint-1000/tokenizer_config.json'}, {'rfilename': 'checkpoint-1000/trainer_state.json'}, {'rfilename': 'checkpoint-1000/training_args.bin'}, {'rfilename': 'checkpoint-1000/vocab.json'}, {'rfilename': 'checkpoint-2000/added_tokens.json'}, {'rfilename': 'checkpoint-2000/config.json'}, {'rfilename': 'checkpoint-2000/generation_config.json'}, {'rfilename': 'checkpoint-2000/merges.txt'}, {'rfilename': 'checkpoint-2000/model.safetensors'}, {'rfilename': 'checkpoint-2000/optimizer.pt'}, {'rfilename': 'checkpoint-2000/rng_state.pth'}, {'rfilename': 'checkpoint-2000/scheduler.pt'}, {'rfilename': 'checkpoint-2000/special_tokens_map.json'}, {'rfilename': 'checkpoint-2000/tokenizer.json'}, {'rfilename': 'checkpoint-2000/tokenizer_config.json'}, {'rfilename': 'checkpoint-2000/trainer_state.json'}, {'rfilename': 'checkpoint-2000/training_args.bin'}, {'rfilename': 'checkpoint-2000/vocab.json'}, {'rfilename': 'checkpoint-3000/added_tokens.json'}, {'rfilename': 'checkpoint-3000/config.json'}, {'rfilename': 'checkpoint-3000/generation_config.json'}, {'rfilename': 'checkpoint-3000/merges.txt'}, {'rfilename': 'checkpoint-3000/model.safetensors'}, {'rfilename': 'checkpoint-3000/optimizer.pt'}, {'rfilename': 'checkpoint-3000/rng_state.pth'}, {'rfilename': 'checkpoint-3000/scheduler.pt'}, {'rfilename': 'checkpoint-3000/special_tokens_map.json'}, {'rfilename': 'checkpoint-3000/tokenizer.json'}, {'rfilename': 'checkpoint-3000/tokenizer_config.json'}, {'rfilename': 'checkpoint-3000/trainer_state.json'}, {'rfilename': 'checkpoint-3000/training_args.bin'}, {'rfilename': 'checkpoint-3000/vocab.json'}, {'rfilename': 'checkpoint-4000/added_tokens.json'}, {'rfilename': 'checkpoint-4000/config.json'}, {'rfilename': 'checkpoint-4000/generation_config.json'}, {'rfilename': 'checkpoint-4000/merges.txt'}, {'rfilename': 'checkpoint-4000/model.safetensors'}, {'rfilename': 'checkpoint-4000/optimizer.pt'}, {'rfilename': 'checkpoint-4000/rng_state.pth'}, {'rfilename': 'checkpoint-4000/scheduler.pt'}, {'rfilename': 'checkpoint-4000/special_tokens_map.json'}, {'rfilename': 'checkpoint-4000/tokenizer.json'}, {'rfilename': 'checkpoint-4000/tokenizer_config.json'}, {'rfilename': 'checkpoint-4000/trainer_state.json'}, {'rfilename': 'checkpoint-4000/training_args.bin'}, {'rfilename': 'checkpoint-4000/vocab.json'}, {'rfilename': 'checkpoint-5000/added_tokens.json'}, {'rfilename': 'checkpoint-5000/config.json'}, {'rfilename': 'checkpoint-5000/generation_config.json'}, {'rfilename': 'checkpoint-5000/merges.txt'}, {'rfilename': 'checkpoint-5000/model.safetensors'}, {'rfilename': 'checkpoint-5000/optimizer.pt'}, {'rfilename': 'checkpoint-5000/rng_state.pth'}, {'rfilename': 'checkpoint-5000/scheduler.pt'}, {'rfilename': 'checkpoint-5000/special_tokens_map.json'}, {'rfilename': 'checkpoint-5000/tokenizer.json'}, {'rfilename': 'checkpoint-5000/tokenizer_config.json'}, {'rfilename': 'checkpoint-5000/trainer_state.json'}, {'rfilename': 'checkpoint-5000/training_args.bin'}, {'rfilename': 'checkpoint-5000/vocab.json'}, {'rfilename': 'checkpoint-6000/added_tokens.json'}, {'rfilename': 'checkpoint-6000/config.json'}, {'rfilename': 'checkpoint-6000/generation_config.json'}, {'rfilename': 'checkpoint-6000/merges.txt'}, {'rfilename': 'checkpoint-6000/model.safetensors'}, {'rfilename': 'checkpoint-6000/optimizer.pt'}, {'rfilename': 'checkpoint-6000/rng_state.pth'}, {'rfilename': 'checkpoint-6000/scheduler.pt'}, {'rfilename': 'checkpoint-6000/special_tokens_map.json'}, {'rfilename': 'checkpoint-6000/tokenizer.json'}, {'rfilename': 'checkpoint-6000/tokenizer_config.json'}, {'rfilename': 'checkpoint-6000/trainer_state.json'}, {'rfilename': 'checkpoint-6000/training_args.bin'}, {'rfilename': 'checkpoint-6000/vocab.json'}]
+    - _id: 66d6d98a673a350b18b7309b
+      id: athirdpath/Aeonis-20b
+      author: athirdpath
+      gated: False
+      inference: library-not-detected
+      lastModified: 2024-09-08T03:28:52.000Z
+      likes: 2
+      trendingScore: 0.2
+      private: False
+      sha: 5e421f2b5781055bbc5eb00d9d7fba8250348c45
+      config: {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if 'role' in messages[0] %}{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% if messages[1]['role'] == 'user' %}{{ '[INST] ' + messages[0]['content'] + ' ' + messages[1]['content'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['content'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% else %}{{ bos_token }}{% if messages[0]['from'] == 'system' %}{% if messages[1]['from'] == 'human' %}{{ '[INST] ' + messages[0]['value'] + ' ' + messages[1]['value'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['value'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['from'] == 'human' %}{{ '[INST] ' + message['value'] + ' [/INST]' }}{% elif message['from'] == 'gpt' %}{{ message['value'] + eos_token }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% endif %}", "eos_token": "<|im_end|>", "pad_token": "<pad>", "unk_token": "<unk>"}}
+      downloads: 1
+      tags: ['safetensors', 'mistral', 'not-for-all-audiences', 'license:apache-2.0', 'region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2024-09-03T09:40:26.000Z
+      modelId: athirdpath/Aeonis-20b
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'config.json'}, {'rfilename': 'generation_config.json'}, {'rfilename': 'model-00001-of-00009.safetensors'}, {'rfilename': 'model-00002-of-00009.safetensors'}, {'rfilename': 'model-00003-of-00009.safetensors'}, {'rfilename': 'model-00004-of-00009.safetensors'}, {'rfilename': 'model-00005-of-00009.safetensors'}, {'rfilename': 'model-00006-of-00009.safetensors'}, {'rfilename': 'model-00007-of-00009.safetensors'}, {'rfilename': 'model-00008-of-00009.safetensors'}, {'rfilename': 'model-00009-of-00009.safetensors'}, {'rfilename': 'model.safetensors.index.json'}, {'rfilename': 'special_tokens_map.json'}, {'rfilename': 'tokenizer.json'}, {'rfilename': 'tokenizer_config.json'}]
+    - _id: 66fda60e52e2309fb9ca6ceb
+      id: aliihnuhnu/mohammeed
+      author: aliihnuhnu
+      gated: False
+      inference: library-not-detected
+      lastModified: 2024-10-02T19:59:10.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 00f9ef1e6f5423b16090acb9bc3300a4a746fef9
+      config: None
+      downloads: 0
+      tags: ['region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2024-10-02T19:59:10.000Z
+      modelId: aliihnuhnu/mohammeed
+      siblings: [{'rfilename': '.gitattributes'}]
+    - _id: 65c2a0d903fcff18e1f1952f
+      id: jkassemi/bert-finetuned-mrpc
+      author: jkassemi
+      gated: False
+      inference: not-popular-enough
+      lastModified: 2024-02-06T21:17:01.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: ece8d1bd95be9bd948d1f150b82cf5989fa1c4eb
+      config: {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}}
+      downloads: 15
+      tags: ['transformers', 'tensorboard', 'safetensors', 'bert', 'text-classification', 'generated_from_trainer', 'base_model:google-bert/bert-base-uncased', 'base_model:finetune:google-bert/bert-base-uncased', 'license:apache-2.0', 'autotrain_compatible', 'endpoints_compatible', 'region:us']
+      pipeline_tag: text-classification
+      library_name: transformers
+      createdAt: 2024-02-06T21:12:57.000Z
+      modelId: jkassemi/bert-finetuned-mrpc
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'config.json'}, {'rfilename': 'model.safetensors'}, {'rfilename': 'runs/Feb06_21-12-57_a1dc83cc88b3/events.out.tfevents.1707253979.a1dc83cc88b3.268.2'}, {'rfilename': 'special_tokens_map.json'}, {'rfilename': 'tokenizer.json'}, {'rfilename': 'tokenizer_config.json'}, {'rfilename': 'training_args.bin'}, {'rfilename': 'vocab.txt'}]
+    - _id: 66e6772f2102f997d0148795
+      id: alluredreamer/Qwen-Qwen1.5-0.5B-1726379822
+      author: alluredreamer
+      gated: False
+      inference: pipeline-not-detected
+      lastModified: 2024-09-15T05:57:08.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: d77cf7b9907b796325e8d33f95e91c7992218f9d
+      config: {"tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": null}, "peft": {"base_model_name_or_path": "Qwen/Qwen1.5-0.5B", "task_type": "CAUSAL_LM"}}
+      downloads: 63
+      tags: ['peft', 'safetensors', 'arxiv:1910.09700', 'base_model:Qwen/Qwen1.5-0.5B', 'base_model:adapter:Qwen/Qwen1.5-0.5B', 'region:us']
+      pipeline_tag: None
+      library_name: peft
+      createdAt: 2024-09-15T05:57:03.000Z
+      modelId: alluredreamer/Qwen-Qwen1.5-0.5B-1726379822
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'adapter_config.json'}, {'rfilename': 'adapter_model.safetensors'}, {'rfilename': 'added_tokens.json'}, {'rfilename': 'merges.txt'}, {'rfilename': 'special_tokens_map.json'}, {'rfilename': 'tokenizer.json'}, {'rfilename': 'tokenizer_config.json'}, {'rfilename': 'training_args.bin'}, {'rfilename': 'vocab.json'}]
+    - _id: 64e8716da7c3693a8be57ecd
+      id: SkippyLean/Super_Wario_Man
+      author: SkippyLean
+      gated: False
+      inference: library-not-detected
+      lastModified: 2023-08-25T09:17:20.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 83f6a38e4476b9f7b43cdc2451d10f4c73fc0ce2
+      config: None
+      downloads: 0
+      tags: ['license:openrail', 'region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2023-08-25T09:16:29.000Z
+      modelId: SkippyLean/Super_Wario_Man
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'SuperWarioMan.zip'}]
+    - _id: 65b0554d165e69e0e696b389
+      id: alre5639/full_rgbd_unet_512_more_pointnet
+      author: alre5639
+      gated: False
+      inference: pipeline-not-detected
+      lastModified: 2024-02-07T16:31:48.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: bcbb675abcf0013d22c14653d3b6c74e2a9ab494
+      config: {}
+      downloads: 572
+      tags: ['diffusers', 'safetensors', 'region:us']
+      pipeline_tag: None
+      library_name: diffusers
+      createdAt: 2024-01-24T00:09:49.000Z
+      modelId: alre5639/full_rgbd_unet_512_more_pointnet
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'config.json'}, {'rfilename': 'diffusion_pytorch_model.safetensors'}]
+    - _id: 64c83976d33e6a7f82921baa
+      id: caveli/vit_model
+      author: caveli
+      gated: False
+      inference: library-not-detected
+      lastModified: 2023-07-31T22:45:10.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 646bd646f0795dab8741ff57eb5b658e12f96edf
+      config: None
+      downloads: 0
+      tags: ['region:us']
+      pipeline_tag: None
+      library_name: None
+      createdAt: 2023-07-31T22:45:10.000Z
+      modelId: caveli/vit_model
+      siblings: [{'rfilename': '.gitattributes'}]
+    - _id: 645af48edbf60d3733668304
+      id: dxli/shiny_sneaker
+      author: dxli
+      gated: False
+      inference: not-popular-enough
+      lastModified: 2023-05-10T02:26:22.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 73716d247713e3c2b4fe9956fbcf77dda132bba5
+      config: {"diffusers": {"_class_name": "StableDiffusionPipeline"}}
+      downloads: 24
+      tags: ['diffusers', 'tensorboard', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'textual_inversion', 'base_model:runwayml/stable-diffusion-v1-5', 'base_model:adapter:runwayml/stable-diffusion-v1-5', 'license:creativeml-openrail-m', 'autotrain_compatible', 'endpoints_compatible', 'diffusers:StableDiffusionPipeline', 'region:us']
+      pipeline_tag: text-to-image
+      library_name: diffusers
+      createdAt: 2023-05-10T01:34:06.000Z
+      modelId: dxli/shiny_sneaker
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'checkpoint-1000/optimizer.bin'}, {'rfilename': 'checkpoint-1000/pytorch_model.bin'}, {'rfilename': 'checkpoint-1000/random_states_0.pkl'}, {'rfilename': 'checkpoint-1000/scheduler.bin'}, {'rfilename': 'checkpoint-2000/optimizer.bin'}, {'rfilename': 'checkpoint-2000/pytorch_model.bin'}, {'rfilename': 'checkpoint-2000/random_states_0.pkl'}, {'rfilename': 'checkpoint-2000/scheduler.bin'}, {'rfilename': 'checkpoint-3000/optimizer.bin'}, {'rfilename': 'checkpoint-3000/pytorch_model.bin'}, {'rfilename': 'checkpoint-3000/random_states_0.pkl'}, {'rfilename': 'checkpoint-3000/scheduler.bin'}, {'rfilename': 'feature_extractor/preprocessor_config.json'}, {'rfilename': 'learned_embeds-steps-1000.bin'}, {'rfilename': 'learned_embeds-steps-1500.bin'}, {'rfilename': 'learned_embeds-steps-2000.bin'}, {'rfilename': 'learned_embeds-steps-2500.bin'}, {'rfilename': 'learned_embeds-steps-3000.bin'}, {'rfilename': 'learned_embeds-steps-500.bin'}, {'rfilename': 'learned_embeds.bin'}, {'rfilename': 'logs/textual_inversion/1683682453.9815822/events.out.tfevents.1683682453.sfr-pod-li-d-a100-8.1441039.1'}, {'rfilename': 'logs/textual_inversion/1683682454.001962/hparams.yml'}, {'rfilename': 'logs/textual_inversion/events.out.tfevents.1683682453.sfr-pod-li-d-a100-8.1441039.0'}, {'rfilename': 'model_index.json'}, {'rfilename': 'safety_checker/config.json'}, {'rfilename': 'safety_checker/pytorch_model.bin'}, {'rfilename': 'scheduler/scheduler_config.json'}, {'rfilename': 'text_encoder/config.json'}, {'rfilename': 'text_encoder/pytorch_model.bin'}, {'rfilename': 'tokenizer/added_tokens.json'}, {'rfilename': 'tokenizer/merges.txt'}, {'rfilename': 'tokenizer/special_tokens_map.json'}, {'rfilename': 'tokenizer/tokenizer_config.json'}, {'rfilename': 'tokenizer/vocab.json'}, {'rfilename': 'unet/config.json'}, {'rfilename': 'unet/diffusion_pytorch_model.bin'}, {'rfilename': 'vae/config.json'}, {'rfilename': 'vae/diffusion_pytorch_model.bin'}]

tables/models.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:470d6308de2a2782797fd3dc7446b471f2f6b687943c6613515e05e5715b7672
+size 293173339

tables/spaces.example.yaml

@@ -0,0 +1,171 @@
+spaces:
+  table_structure:
+    - column: _id
+      type: VARCHAR
+    - column: id
+      type: VARCHAR
+    - column: author
+      type: VARCHAR
+    - column: cardData
+      type: VARCHAR
+    - column: lastModified
+      type: VARCHAR
+    - column: likes
+      type: BIGINT
+    - column: trendingScore
+      type: DOUBLE
+    - column: private
+      type: BOOLEAN
+    - column: sha
+      type: VARCHAR
+    - column: subdomain
+      type: VARCHAR
+    - column: sdk
+      type: VARCHAR
+    - column: tags
+      type: VARCHAR[]
+    - column: createdAt
+      type: VARCHAR
+    - column: siblings
+      type: STRUCT(rfilename VARCHAR)[]
+  random_items:
+    - _id: 66b97a1002fd8eb58b4935c8
+      id: yeecin/ocr-demo
+      author: yeecin
+      cardData: {"title": "Ocr Demo", "emoji": "\ud83c\udf0d", "colorFrom": "pink", "colorTo": "green", "sdk": "gradio", "sdk_version": "4.41.0", "app_file": "app.py", "pinned": false}
+      lastModified: 2024-08-12T03:58:44.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 5823579742be940b54bb53af3c00e6fa5960cafc
+      subdomain: yeecin-ocr-demo
+      sdk: gradio
+      tags: ['gradio']
+      createdAt: 2024-08-12T02:57:20.000Z
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'app.py'}, {'rfilename': 'requirements.txt'}]
+    - _id: 629a149d53a72d997d3f416f
+      id: Gradio-Blocks/speech-to-text-app
+      author: Gradio-Blocks
+      cardData: {"title": "Speech To Text App", "emoji": "\ud83d\udcca", "colorFrom": "green", "colorTo": "yellow", "sdk": "streamlit", "sdk_version": "1.9.0", "app_file": "app.py", "pinned": false}
+      lastModified: 2022-06-08T07:13:14.000Z
+      likes: 3
+      trendingScore: 0.0
+      private: False
+      sha: 213c563edf6bbb0b9905d4dc3db380b9523bc970
+      subdomain: gradio-blocks-speech-to-text-app
+      sdk: streamlit
+      tags: ['streamlit']
+      createdAt: 2022-06-03T14:03:09.000Z
+      siblings: [{'rfilename': '.gitattributes'}, {'rfilename': 'README.md'}, {'rfilename': 'app.py'}, {'rfilename': 'transcriptions.json'}]
+    - _id: 651cbaee552be122da6caca8
+      id: romero61/USRA-STI
+      author: romero61
+      cardData: {"title": "USRA-STI-PM2.5", "emoji": "\ud83d\udd25", "colorFrom": "gray", "colorTo": "red", "sdk": "docker", "pinned": true, "license": "mit", "app_port": 8765}
+      lastModified: 2023-12-22T17:36:38.000Z
+      likes: 0
+      trendingScore: 0.0
+      private: False
+      sha: 7f8f29364e581353b601f6bb35500c18972b530e
+      subdomain: romero61-usra-sti
+      sdk: docker
+      tags: ['docker']
+      createdAt: 2023-10-04T01:07:58.000Z
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